diff --git a/models/cv/object_detection/atss/igie/README.md b/models/cv/object_detection/atss/igie/README.md
index fe1cbfe074cb8cf3f54c3c5998d1ee17d78bc704..8e1fbbe6dad492ce5a3c52f259b747461e7c3392 100644
--- a/models/cv/object_detection/atss/igie/README.md
+++ b/models/cv/object_detection/atss/igie/README.md
@@ -17,7 +17,33 @@ ATSS is an advanced adaptive training sample selection method that effectively e
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth
diff --git a/models/cv/object_detection/atss/ixrt/README.md b/models/cv/object_detection/atss/ixrt/README.md
index 88e5571942f5b75bdfeb3ef6d744e82d6c5a1aa8..a1b5f385b35da9bbf7b8a13affe34883b0501407 100644
--- a/models/cv/object_detection/atss/ixrt/README.md
+++ b/models/cv/object_detection/atss/ixrt/README.md
@@ -16,7 +16,33 @@ ATSS is an advanced adaptive training sample selection method that effectively e
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth
diff --git a/models/cv/object_detection/centernet/igie/README.md b/models/cv/object_detection/centernet/igie/README.md
index 7b2a9b332bade31d12fd9b9f2b8b72176d161551..2e461ce1277944f90a24eaa2692c39b5512aa177 100644
--- a/models/cv/object_detection/centernet/igie/README.md
+++ b/models/cv/object_detection/centernet/igie/README.md
@@ -17,7 +17,33 @@ CenterNet is an efficient object detection model that simplifies the traditional
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/centernet/centernet_resnet18_140e_coco/centernet_resnet18_140e_coco_20210705_093630-bb5b3bf7.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/centernet/ixrt/README.md b/models/cv/object_detection/centernet/ixrt/README.md
index 292ce2767f613037a4e4278e176d274676845003..ed111a3fe3a893de124290cfeb7824142fe248be 100644
--- a/models/cv/object_detection/centernet/ixrt/README.md
+++ b/models/cv/object_detection/centernet/ixrt/README.md
@@ -17,7 +17,33 @@ CenterNet is an efficient object detection model that simplifies the traditional
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/centernet/centernet_resnet18_140e_coco/centernet_resnet18_140e_coco_20210705_093630-bb5b3bf7.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/detr/ixrt/README.md b/models/cv/object_detection/detr/ixrt/README.md
index 2386a675f822e04f4c3b2afec63d805aeb80a669..87da47f8ce745bc6c555e3a65b7555a3af1eef38 100755
--- a/models/cv/object_detection/detr/ixrt/README.md
+++ b/models/cv/object_detection/detr/ixrt/README.md
@@ -17,7 +17,33 @@ DETR (DEtection TRansformer) is a novel approach that views object detection as
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v3.0/detr/detr_r50_8xb2-150e_coco/detr_r50_8xb2-150e_coco_20221023_153551-436d03e8.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/fcos/igie/README.md b/models/cv/object_detection/fcos/igie/README.md
index 54bcebf18de90c034e47476186df603d9df27d0d..c14fc5d17b9f2f860d7f057f6ea523bbc9b1730e 100644
--- a/models/cv/object_detection/fcos/igie/README.md
+++ b/models/cv/object_detection/fcos/igie/README.md
@@ -17,7 +17,33 @@ FCOS is an innovative one-stage object detection framework that abandons traditi
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/fcos/fcos_r50_caffe_fpn_gn-head_1x_coco/fcos_r50_caffe_fpn_gn-head_1x_coco-821213aa.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/fcos/fcos_r50_caffe_fpn_gn-head_1x_coco/fcos_r50_caffe_fpn_gn-head_1x_coco-821213aa.pth
diff --git a/models/cv/object_detection/fcos/ixrt/README.md b/models/cv/object_detection/fcos/ixrt/README.md
index ca628784bb761a3075230fede1f7e2be121389e9..29e8bcd2e298d9374d3a58be3ff2316d90017135 100755
--- a/models/cv/object_detection/fcos/ixrt/README.md
+++ b/models/cv/object_detection/fcos/ixrt/README.md
@@ -18,10 +18,34 @@ For more details, please refer to our [report on Arxiv](https://arxiv.org/abs/19
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/fcos/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco-0a0d75a8.pth>
 
-COCO2017: <https://cocodataset.org/>
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
-- val2017: Path/To/val2017/*.jpg
-- annotations: Path/To/annotations/instances_val2017.json
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/foveabox/igie/README.md b/models/cv/object_detection/foveabox/igie/README.md
index 196054d80fdda817201a86ae1b1da9021544b792..ead77b39bbac760dbf582283cd1a959237f9da9c 100644
--- a/models/cv/object_detection/foveabox/igie/README.md
+++ b/models/cv/object_detection/foveabox/igie/README.md
@@ -17,7 +17,33 @@ FoveaBox is an advanced anchor-free object detection framework that enhances acc
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_r50_fpn_4x4_1x_coco/fovea_r50_fpn_4x4_1x_coco_20200219-ee4d5303.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/foveabox/ixrt/README.md b/models/cv/object_detection/foveabox/ixrt/README.md
index b131f0d79e194ac501da184d8af51f35aefe37d4..08827c9b2bae6eafa443b46712bf7ce25187ffdd 100644
--- a/models/cv/object_detection/foveabox/ixrt/README.md
+++ b/models/cv/object_detection/foveabox/ixrt/README.md
@@ -17,7 +17,33 @@ FoveaBox is an advanced anchor-free object detection framework that enhances acc
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_r50_fpn_4x4_1x_coco/fovea_r50_fpn_4x4_1x_coco_20200219-ee4d5303.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/fsaf/igie/README.md b/models/cv/object_detection/fsaf/igie/README.md
index d8e5e827f3c8956ce1ce60df426eccb7f95c51b2..10f76ac2016dc8055c0a1f56daeb1b207dc7e4e2 100644
--- a/models/cv/object_detection/fsaf/igie/README.md
+++ b/models/cv/object_detection/fsaf/igie/README.md
@@ -17,7 +17,33 @@ The FSAF (Feature Selective Anchor-Free) module is an innovative component for s
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth
diff --git a/models/cv/object_detection/fsaf/ixrt/README.md b/models/cv/object_detection/fsaf/ixrt/README.md
index f7093224a7342823c4b83c1c2e03c341a1e5f172..ea520423621d0d48587dc221c90e5c539a1fce11 100644
--- a/models/cv/object_detection/fsaf/ixrt/README.md
+++ b/models/cv/object_detection/fsaf/ixrt/README.md
@@ -17,7 +17,33 @@ The FSAF (Feature Selective Anchor-Free) module is an innovative component for s
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth
diff --git a/models/cv/object_detection/gfl/igie/README.md b/models/cv/object_detection/gfl/igie/README.md
index 2622fff788650c2660138f60bb8a5d9af504ed48..ffdb09194b24b7622a4ce72f09a0c91f2b66f347 100644
--- a/models/cv/object_detection/gfl/igie/README.md
+++ b/models/cv/object_detection/gfl/igie/README.md
@@ -17,7 +17,33 @@ GFL (Generalized Focal Loss) is an object detection model that utilizes an impro
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_r50_fpn_1x_coco/gfl_r50_fpn_1x_coco_20200629_121244-25944287.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/hrnet/igie/README.md b/models/cv/object_detection/hrnet/igie/README.md
index 751a338e396b5da456a6180d8e9b12fc14b46ac4..7d8c37bee82600f1bfaf8f417097a60cc7f62a21 100644
--- a/models/cv/object_detection/hrnet/igie/README.md
+++ b/models/cv/object_detection/hrnet/igie/README.md
@@ -17,7 +17,33 @@ HRNet is an advanced deep learning architecture for human pose estimation, chara
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/hrnet/fcos_hrnetv2p_w18_gn-head_4x4_1x_coco/fcos_hrnetv2p_w18_gn-head_4x4_1x_coco_20201212_100710-4ad151de.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/hrnet/ixrt/README.md b/models/cv/object_detection/hrnet/ixrt/README.md
index 93b2c5f7e96da9cc1b3d666db974a33762bf756e..194f13ec4f762cf2914b1b1cee478c5abbcce3a6 100644
--- a/models/cv/object_detection/hrnet/ixrt/README.md
+++ b/models/cv/object_detection/hrnet/ixrt/README.md
@@ -17,7 +17,33 @@ HRNet is an advanced deep learning architecture for human pose estimation, chara
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/hrnet/fcos_hrnetv2p_w18_gn-head_4x4_1x_coco/fcos_hrnetv2p_w18_gn-head_4x4_1x_coco_20201212_100710-4ad151de.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/paa/igie/README.md b/models/cv/object_detection/paa/igie/README.md
index b98ad822973a0542f3f51a85b63c95de8f0a9a23..052bdf3aec8762bf32e1195b8193b80bc512300d 100644
--- a/models/cv/object_detection/paa/igie/README.md
+++ b/models/cv/object_detection/paa/igie/README.md
@@ -17,7 +17,33 @@ PAA (Probabilistic Anchor Assignment) is an algorithm for object detection that
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/paa/ixrt/README.md b/models/cv/object_detection/paa/ixrt/README.md
index 4d86d44b82f29dbaec678d2bcef19b92b7e7ec1e..000c21c99f84ff4725d23107d54c3e9b333f0530 100644
--- a/models/cv/object_detection/paa/ixrt/README.md
+++ b/models/cv/object_detection/paa/ixrt/README.md
@@ -16,7 +16,33 @@ PAA (Probabilistic Anchor Assignment) is an algorithm for object detection that
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth
diff --git a/models/cv/object_detection/retinanet/igie/README.md b/models/cv/object_detection/retinanet/igie/README.md
index eaad1376e5248514e15dcc6515b0f191cff17bbe..5ea1839a73c7666e9836e398438659afcbc26583 100644
--- a/models/cv/object_detection/retinanet/igie/README.md
+++ b/models/cv/object_detection/retinanet/igie/README.md
@@ -17,7 +17,33 @@ RetinaNet, an innovative object detector, challenges the conventional trade-off
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/retinanet/ixrt/README.md b/models/cv/object_detection/retinanet/ixrt/README.md
index 1993f3a6266b7c41a5b98a39b5fd070ac8362ac8..c9d3e7bd3b9be9f803c518824dbd0cd54cdf2084 100644
--- a/models/cv/object_detection/retinanet/ixrt/README.md
+++ b/models/cv/object_detection/retinanet/ixrt/README.md
@@ -16,7 +16,33 @@ RetinaNet, an innovative object detector, challenges the conventional trade-off
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth
diff --git a/models/cv/object_detection/rtmdet/igie/README.md b/models/cv/object_detection/rtmdet/igie/README.md
index 17460c92e8fc7d48607fb52cc1e7e6a9756afbcf..cdc20956440176842d94528fccc1309a79729cad 100644
--- a/models/cv/object_detection/rtmdet/igie/README.md
+++ b/models/cv/object_detection/rtmdet/igie/README.md
@@ -17,7 +17,33 @@ RTMDet, presented by the Shanghai AI Laboratory, is a novel framework for real-t
 
 Pretrained model: <https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth
diff --git a/models/cv/object_detection/sabl/igie/README.md b/models/cv/object_detection/sabl/igie/README.md
index b26d85146b94be4e43bbb7db35a6a1f912432769..0cf83d9931d541fbc4e09567563d56e54c65e1a4 100644
--- a/models/cv/object_detection/sabl/igie/README.md
+++ b/models/cv/object_detection/sabl/igie/README.md
@@ -17,7 +17,33 @@ SABL (Side-Aware Boundary Localization) is an innovative approach in object dete
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r50_fpn_1x_coco/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r50_fpn_1x_coco/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth
diff --git a/models/cv/object_detection/ssd/igie/README.md b/models/cv/object_detection/ssd/igie/README.md
index 4e24ba4356124584096b65b91b3047a99a5ad120..86a4b0b71c2df8f418c664ff111abdef89252ebf 100644
--- a/models/cv/object_detection/ssd/igie/README.md
+++ b/models/cv/object_detection/ssd/igie/README.md
@@ -16,7 +16,33 @@ SSD is a single convolutional neural network-based object detection model that u
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/ssd/ssd300_coco/ssd300_coco_20210803_015428-d231a06e.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolof/igie/README.md b/models/cv/object_detection/yolof/igie/README.md
index 25b3f033ac4fa04918f11690275a5f41471a0d1f..20b7688da66c0c1decf519868069710547046443 100644
--- a/models/cv/object_detection/yolof/igie/README.md
+++ b/models/cv/object_detection/yolof/igie/README.md
@@ -16,7 +16,33 @@ YOLOF is a lightweight object detection model that focuses on single-level featu
 
 Pretrained model: <https://download.openmmlab.com/mmdetection/v2.0/yolof/yolof_r50_c5_8x8_1x_coco/yolof_r50_c5_8x8_1x_coco_20210425_024427-8e864411.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov10/igie/README.md b/models/cv/object_detection/yolov10/igie/README.md
index ceb61266f25eb3c55a1ab1d0532ff9db5b9c849d..393d12d158d21eb4eba4f53bf9abd8dcf0245381 100644
--- a/models/cv/object_detection/yolov10/igie/README.md
+++ b/models/cv/object_detection/yolov10/igie/README.md
@@ -17,6 +17,34 @@ YOLOv10, built on the Ultralytics Python package by researchers at Tsinghua Univ
 
 Pretrained model: <https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10s.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov10/ixrt/README.md b/models/cv/object_detection/yolov10/ixrt/README.md
index 54ccc13dc10dfee6bc33cf23d41f8d059baa7e62..c5ebeefe8245408661489f74e4c41a94c80bd3f3 100644
--- a/models/cv/object_detection/yolov10/ixrt/README.md
+++ b/models/cv/object_detection/yolov10/ixrt/README.md
@@ -17,6 +17,34 @@ YOLOv10, built on the Ultralytics Python package by researchers at Tsinghua Univ
 
 Pretrained model: <https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10s.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov11/igie/README.md b/models/cv/object_detection/yolov11/igie/README.md
index a32b602edc014e26226a9c265ca78a0dd6693e4b..5ab28d73e97d0d3f10b32ca71b96f9fda78893e9 100644
--- a/models/cv/object_detection/yolov11/igie/README.md
+++ b/models/cv/object_detection/yolov11/igie/README.md
@@ -17,6 +17,34 @@ YOLOv11 is the latest generation of the YOLO (You Only Look Once) series object
 
 Pretrained model: <https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov11/ixrt/README.md b/models/cv/object_detection/yolov11/ixrt/README.md
index 1368906e0ad62f074c05d9b269492eb5d666d8ab..f2aea24ae1449ed669f442a3e71534e2a7166f4e 100644
--- a/models/cv/object_detection/yolov11/ixrt/README.md
+++ b/models/cv/object_detection/yolov11/ixrt/README.md
@@ -17,6 +17,34 @@ YOLOv11 is the latest generation of the YOLO (You Only Look Once) series object
 
 Pretrained model: <https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov12/igie/README.md b/models/cv/object_detection/yolov12/igie/README.md
index 3af101ce112cf7ee6794527c8724b56cd1a059b7..2549fc498ef3911a3a9341df21b31c6f65871417 100644
--- a/models/cv/object_detection/yolov12/igie/README.md
+++ b/models/cv/object_detection/yolov12/igie/README.md
@@ -17,6 +17,34 @@ YOLOv12 achieves high precision and efficient real-time object detection by inte
 
 Pretrained model: <https://github.com/sunsmarterjie/yolov12/releases/download/turbo/yolov12n.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov13/igie/README.md b/models/cv/object_detection/yolov13/igie/README.md
index 40baf5cb725796e91625dfdd7126806bb60465da..7e862f52db15697f58f0182862cb2a55cffa5211 100644
--- a/models/cv/object_detection/yolov13/igie/README.md
+++ b/models/cv/object_detection/yolov13/igie/README.md
@@ -16,6 +16,34 @@ YOLOv13 addresses the detection performance bottlenecks of the traditional YOLO
 
 Pretrained model: <https://github.com/iMoonLab/yolov13/releases/download/yolov13/yolov13n.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov3/igie/README.md b/models/cv/object_detection/yolov3/igie/README.md
index 067888a5ae39a68862d257014c6273ee04bd573a..4902a91df85749bc9daea1cecfc9b130cdf02158 100644
--- a/models/cv/object_detection/yolov3/igie/README.md
+++ b/models/cv/object_detection/yolov3/igie/README.md
@@ -17,7 +17,33 @@ YOLOv3 is a influential object detection algorithm.The key innovation of YOLOv3
 
 Pretrained model: <https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov3.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov3/ixrt/README.md b/models/cv/object_detection/yolov3/ixrt/README.md
index f2bead093c0bc2343524caebf8b47ea6a96636dd..d883019543764169fe2f6c96f237b25421ae0fbd 100644
--- a/models/cv/object_detection/yolov3/ixrt/README.md
+++ b/models/cv/object_detection/yolov3/ixrt/README.md
@@ -17,10 +17,33 @@ YOLOv3 is a influential object detection algorithm.The key innovation of YOLOv3
 
 Pretrained model: <https://pjreddie.com/media/files/yolov3.weights>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
 
-- val2017: Path/To/val2017/*.jpg
-- annotations: Path/To/annotations/instances_val2017.json
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov4/igie/README.md b/models/cv/object_detection/yolov4/igie/README.md
index c3681397dd1741cef4ea435e3794155ed14e22a0..99dee0ffd8824adbfa3f56cc3ab0b9529e987295 100644
--- a/models/cv/object_detection/yolov4/igie/README.md
+++ b/models/cv/object_detection/yolov4/igie/README.md
@@ -18,7 +18,33 @@ YOLOv4 employs a two-step process, involving regression for bounding box positio
 Pretrained cfg: <https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4.cfg>
 Pretrained model: <https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov4/ixrt/README.md b/models/cv/object_detection/yolov4/ixrt/README.md
index 16811bb4619d816e5e3d8a3c0d2d389e0e28c9d8..60b73eb00a8d7d394bf9da9dfa3bd6bfbf211606 100644
--- a/models/cv/object_detection/yolov4/ixrt/README.md
+++ b/models/cv/object_detection/yolov4/ixrt/README.md
@@ -18,7 +18,33 @@ YOLOv4 employs a two-step process, involving regression for bounding box positio
 Pretrained cfg: <https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4.cfg>
 Pretrained model: <https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov5/igie/README.md b/models/cv/object_detection/yolov5/igie/README.md
index 3a94cc17a24e039c58a88a5438993240f6f59c58..e50af699c79f392c5a5a87da91645a788b4414f3 100644
--- a/models/cv/object_detection/yolov5/igie/README.md
+++ b/models/cv/object_detection/yolov5/igie/README.md
@@ -17,7 +17,33 @@ The YOLOv5 architecture is designed for efficient and accurate object detection
 
 Pretrained model: <https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5m.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov5/ixrt/README.md b/models/cv/object_detection/yolov5/ixrt/README.md
index 94f8c00e0c02cd5ef83212c0e7a39622e6049883..3ee45421b074832d4c5bcfac47dbdeb948858975 100644
--- a/models/cv/object_detection/yolov5/ixrt/README.md
+++ b/models/cv/object_detection/yolov5/ixrt/README.md
@@ -17,10 +17,33 @@ The YOLOv5 architecture is designed for efficient and accurate object detection
 
 Pretrained model: <https://github.com/ultralytics/yolov5/releases/download/v6.1/yolov5m.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
 
-- val2017: Path/To/val2017/*.jpg
-- annotations: Path/To/annotations/instances_val2017.json
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov5s/ixrt/README.md b/models/cv/object_detection/yolov5s/ixrt/README.md
index 2c3982006f41aaa22fd05ff952d602b0919a1979..37bfdef1eed3fe9d222b8af6957c746be7d71f99 100755
--- a/models/cv/object_detection/yolov5s/ixrt/README.md
+++ b/models/cv/object_detection/yolov5s/ixrt/README.md
@@ -17,7 +17,33 @@ The YOLOv5 architecture is designed for efficient and accurate object detection
 
 Pretrained model: <https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov6/igie/README.md b/models/cv/object_detection/yolov6/igie/README.md
index 68949b49ea7c75460acb44d0f394d9fe588ed55e..cb3a3bfd354f2b8ebc3dd3c0310c49137c49f214 100644
--- a/models/cv/object_detection/yolov6/igie/README.md
+++ b/models/cv/object_detection/yolov6/igie/README.md
@@ -17,7 +17,33 @@ YOLOv6 integrates cutting-edge object detection advancements from industry and a
 
 Pretrained model: <https://github.com/meituan/YOLOv6/releases/download/0.4.0/yolov6s.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov6/ixrt/README.md b/models/cv/object_detection/yolov6/ixrt/README.md
index 3ec3c1b6aba984413d52a512ec422d9449747f3c..6c6bd390d7aa9c3907d88c0446258a891d7079a0 100644
--- a/models/cv/object_detection/yolov6/ixrt/README.md
+++ b/models/cv/object_detection/yolov6/ixrt/README.md
@@ -17,7 +17,33 @@ YOLOv6 integrates cutting-edge object detection advancements from industry and a
 
 Pretrained model: <https://github.com/meituan/YOLOv6/releases/download/0.4.0/yolov6s.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov7/igie/README.md b/models/cv/object_detection/yolov7/igie/README.md
index 3491c2b26a9c69b3f9884b6e9da9cf19e58f4b70..9a078793d09289aa19ba6cfe8e452ffdc0de1c2e 100644
--- a/models/cv/object_detection/yolov7/igie/README.md
+++ b/models/cv/object_detection/yolov7/igie/README.md
@@ -17,7 +17,33 @@ YOLOv7 is a state-of-the-art real-time object detector that surpasses all known
 
 Pretrained model: <https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov7/ixrt/README.md b/models/cv/object_detection/yolov7/ixrt/README.md
index 0f448dd08b46a4b1712f9c39d0e06bea10aa9846..e339c3cddf2bf141c215b3a9e40190d252375321 100644
--- a/models/cv/object_detection/yolov7/ixrt/README.md
+++ b/models/cv/object_detection/yolov7/ixrt/README.md
@@ -17,10 +17,33 @@ YOLOv7 is an object detection model based on the YOLO (You Only Look Once) serie
 
 Pretrained model: <https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
 
-- val2017: Path/To/val2017/*.jpg
-- annotations: Path/To/annotations/instances_val2017.json
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov8/igie/README.md b/models/cv/object_detection/yolov8/igie/README.md
index 3ad88c4d914efa1f38462a6efb3655a1e23447e5..dbd390e7a22fa4878193d7a3b6aa6a67f222992a 100644
--- a/models/cv/object_detection/yolov8/igie/README.md
+++ b/models/cv/object_detection/yolov8/igie/README.md
@@ -17,7 +17,33 @@ Yolov8 combines speed and accuracy in real-time object detection tasks. With a f
 
 Pretrained model: <https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8s.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov8/ixrt/README.md b/models/cv/object_detection/yolov8/ixrt/README.md
index 753853a5c391007b6c4089c06ad3eaada92691ee..47100eea531b22b4dcfa7796cbfd8f7b36421448 100644
--- a/models/cv/object_detection/yolov8/ixrt/README.md
+++ b/models/cv/object_detection/yolov8/ixrt/README.md
@@ -17,7 +17,33 @@ Yolov8 combines speed and accuracy in real-time object detection tasks. With a f
 
 Pretrained model: <https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolov9/igie/README.md b/models/cv/object_detection/yolov9/igie/README.md
index 7e7214fe31ef992d78473a78722e2ce5d94ce19f..a859f82b76871cf64f9006481d1bfdccd9d8b140 100644
--- a/models/cv/object_detection/yolov9/igie/README.md
+++ b/models/cv/object_detection/yolov9/igie/README.md
@@ -17,6 +17,34 @@ YOLOv9 represents a major leap in real-time object detection by introducing inno
 
 Pretrained model: <https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov9s.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolov9/ixrt/README.md b/models/cv/object_detection/yolov9/ixrt/README.md
index f4cd7d80b2585e4fb36962b76991772e415cab85..5739b1e96c52ddb01057f1a56e580105e8f9a070 100644
--- a/models/cv/object_detection/yolov9/ixrt/README.md
+++ b/models/cv/object_detection/yolov9/ixrt/README.md
@@ -17,6 +17,34 @@ YOLOv9 represents a major leap in real-time object detection by introducing inno
 
 Pretrained model: <https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov9s.pt>
 
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
+
 ### Install Dependencies
 
 Contact the Iluvatar administrator to get the missing packages:
diff --git a/models/cv/object_detection/yolox/igie/README.md b/models/cv/object_detection/yolox/igie/README.md
index 5dd217a247a717271e9aa743c60532cc744e23e3..c666450d8eef3e65210ca23408ea3de3d3872c2b 100644
--- a/models/cv/object_detection/yolox/igie/README.md
+++ b/models/cv/object_detection/yolox/igie/README.md
@@ -17,7 +17,33 @@ YOLOX is an anchor-free version of YOLO, with a simpler design but better perfor
 
 Pretrained model: <https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_m.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/object_detection/yolox/ixrt/README.md b/models/cv/object_detection/yolox/ixrt/README.md
index 75f3a5584c85027fec5f80588a106b6a771046fb..5da71b58c5b03b2f4161f3a356f8ed64aa7a77d5 100644
--- a/models/cv/object_detection/yolox/ixrt/README.md
+++ b/models/cv/object_detection/yolox/ixrt/README.md
@@ -18,7 +18,33 @@ For more details, please refer to our [report on Arxiv](https://arxiv.org/abs/21
 
 Pretrained model: <https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_m.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies
 
diff --git a/models/cv/pose_estimation/hrnetpose/igie/README.md b/models/cv/pose_estimation/hrnetpose/igie/README.md
index bf366b347efdcb4af66c5a71d272d38089c18b3a..b3e860b28ce41e43cbea0c9c44b912a1ab3c92a1 100644
--- a/models/cv/pose_estimation/hrnetpose/igie/README.md
+++ b/models/cv/pose_estimation/hrnetpose/igie/README.md
@@ -17,7 +17,33 @@ HRNetPose (High-Resolution Network for Pose Estimation) is a high-performance hu
 
 Pretrained model: <https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_256x192-c78dce93_20200708.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_256x192-c78dce93_20200708.pth
diff --git a/models/cv/pose_estimation/rtmpose/igie/README.md b/models/cv/pose_estimation/rtmpose/igie/README.md
index 6b6a7eecea1da6ab85fab67cf4416c20b4cd673f..f13212fecbcef90d4f9bdeb7c7a669d31300b7c2 100644
--- a/models/cv/pose_estimation/rtmpose/igie/README.md
+++ b/models/cv/pose_estimation/rtmpose/igie/README.md
@@ -17,7 +17,33 @@ RTMPose, a state-of-the-art framework developed by Shanghai AI Laboratory, excel
 
 Pretrained model: <https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ```bash
 wget https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth
diff --git a/models/cv/pose_estimation/rtmpose/ixrt/README.md b/models/cv/pose_estimation/rtmpose/ixrt/README.md
index 2396196d798a7c4bd1d1a1be16d03165c82cbefa..80a5df9b4746749148bbd0214d3b4e1ed4adbef2 100644
--- a/models/cv/pose_estimation/rtmpose/ixrt/README.md
+++ b/models/cv/pose_estimation/rtmpose/ixrt/README.md
@@ -17,7 +17,33 @@ RTMPose, a state-of-the-art framework developed by Shanghai AI Laboratory, excel
 
 Pretrained model: <https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth>
 
-Dataset: <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+Dataset:
+  - <https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels.zip> to download the labels dataset.
+  - <http://images.cocodataset.org/zips/val2017.zip> to download the validation dataset.
+  - <http://images.cocodataset.org/zips/train2017.zip> to download the train dataset.
+
+```bash
+unzip -q -d ./ coco2017labels.zip
+unzip -q -d ./coco/images/ train2017.zip
+unzip -q -d ./coco/images/ val2017.zip
+
+coco
+├── annotations
+│   └── instances_val2017.json
+├── images
+│   ├── train2017
+│   └── val2017
+├── labels
+│   ├── train2017
+│   └── val2017
+├── LICENSE
+├── README.txt
+├── test-dev2017.txt
+├── train2017.cache
+├── train2017.txt
+├── val2017.cache
+└── val2017.txt
+```
 
 ### Install Dependencies