diff --git a/dataset-index.yml b/dataset-index.yml
index a6acc57cc4..b27e3fffef 100644
--- a/dataset-index.yml
+++ b/dataset-index.yml
@@ -1,71 +1,72 @@
+openxlab: true
 coco2017:
-  dataset: COCO_2017
+  dataset: OpenDataLab/COCO_2017
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_coco2017.sh
 
 mpii:
-  dataset: MPII_Human_Pose
+  dataset: OpenDataLab/MPII_Human_Pose
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_mpii.sh
 
 aic:
-  dataset: AI_Challenger
+  dataset: OpenDataLab/AI_Challenger
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_aic.sh
 
 crowdpose:
-  dataset: CrowdPose
+  dataset: OpenDataLab/CrowdPose
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_crowdpose.sh
 
 halpe:
-  dataset: Halpe
+  dataset: OpenDataLab/Halpe
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_halpe.sh
 
 lapa:
-  dataset: LaPa
+  dataset: OpenDataLab/LaPa
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_lapa.sh
 
 300w:
-  dataset: 300w
+  dataset: OpenDataLab/300w
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_300w.sh
 
 wflw:
-  dataset: WFLW
+  dataset: OpenDataLab/WFLW
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_wflw.sh
 
 onehand10k:
-  dataset: OneHand10K
+  dataset: OpenDataLab/OneHand10K
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_onehand10k.sh
 
 freihand:
-  dataset: FreiHAND
+  dataset: OpenDataLab/FreiHAND
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_freihand.sh
 
 ap10k:
-  dataset: AP-10K
+  dataset: OpenDataLab/AP-10K
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_ap10k.sh
 
 hagrid:
-  dataset: HaGRID
+  dataset: OpenDataLab/HaGRID
   download_root: data
   data_root: data/pose
   script: tools/dataset_converters/scripts/preprocess_hagrid.sh
diff --git a/docs/en/user_guides/prepare_datasets.md b/docs/en/user_guides/prepare_datasets.md
index 2f8ddcbc32..be47e07b8f 100644
--- a/docs/en/user_guides/prepare_datasets.md
+++ b/docs/en/user_guides/prepare_datasets.md
@@ -158,7 +158,7 @@ The heatmap target will be visualized together if it is generated in the pipelin
 
 ## Download dataset via MIM
 
-By using [OpenDataLab](https://opendatalab.com/), you can obtain free formatted datasets in various fields. Through the search function of the platform, you may address the dataset they look for quickly and easily. Using the formatted datasets from the platform, you can efficiently conduct tasks across datasets.
+By using [OpenXLab](https://openxlab.org.cn/datasets), you can obtain free formatted datasets in various fields. Through the search function of the platform, you may address the dataset they look for quickly and easily. Using the formatted datasets from the platform, you can efficiently conduct tasks across datasets.
 
 If you use MIM to download, make sure that the version is greater than v0.3.8. You can use the following command to update, install, login and download the dataset:
 
@@ -166,10 +166,10 @@ If you use MIM to download, make sure that the version is greater than v0.3.8. Y
 # upgrade your MIM
 pip install -U openmim
 
-# install OpenDataLab CLI tools
-pip install -U opendatalab
-# log in OpenDataLab, registry
-odl login
+# install OpenXLab CLI tools
+pip install -U openxlab
+# log in OpenXLab
+openxlab login
 
 # download coco2017 and preprocess by MIM
 mim download mmpose --dataset coco2017
diff --git a/docs/zh_cn/user_guides/prepare_datasets.md b/docs/zh_cn/user_guides/prepare_datasets.md
index 8b7d651e88..4452405819 100644
--- a/docs/zh_cn/user_guides/prepare_datasets.md
+++ b/docs/zh_cn/user_guides/prepare_datasets.md
@@ -158,7 +158,7 @@ python tools/misc/browse_dataset.py configs/body_2d_keypoint/topdown_heatmap/coc
 
 ## 用 MIM 下载数据集
 
-通过使用 [OpenDataLab](https://opendatalab.com/)，您可以直接下载开源数据集。通过平台的搜索功能，您可以快速轻松地找到他们正在寻找的数据集。使用平台上的格式化数据集，您可以高效地跨数据集执行任务。
+通过使用 [OpenXLab](https://openxlab.org.cn/datasets)，您可以直接下载开源数据集。通过平台的搜索功能，您可以快速轻松地找到他们正在寻找的数据集。使用平台上的格式化数据集，您可以高效地跨数据集执行任务。
 
 如果您使用 MIM 下载，请确保版本大于 v0.3.8。您可以使用以下命令进行更新、安装、登录和数据集下载：
 
@@ -166,10 +166,10 @@ python tools/misc/browse_dataset.py configs/body_2d_keypoint/topdown_heatmap/coc
 # upgrade your MIM
 pip install -U openmim
 
-# install OpenDataLab CLI tools
-pip install -U opendatalab
-# log in OpenDataLab, registry
-odl login
+# install OpenXLab CLI tools
+pip install -U openxlab
+# log in OpenXLab
+openxlab login
 
 # download coco2017 and preprocess by MIM
 mim download mmpose --dataset coco2017
diff --git a/model-index.yml b/model-index.yml
index eca83b6975..52c4a1adb8 100644
--- a/model-index.yml
+++ b/model-index.yml
@@ -125,3 +125,5 @@ Import:
 - configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/vipnas_dark_coco-wholebody.yml
 - configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/cspnext_udp_coco-wholebody.yml
 - configs/fashion_2d_keypoint/topdown_heatmap/deepfashion2/res50_deepfasion2.yml
+- configs/fashion_2d_keypoint/topdown_heatmap/deepfashion/hrnet_deepfashion.yml
+- configs/fashion_2d_keypoint/topdown_heatmap/deepfashion/resnet_deepfashion.yml
diff --git a/tools/dataset_converters/scripts/preprocess_300w.sh b/tools/dataset_converters/scripts/preprocess_300w.sh
old mode 100644
new mode 100755
index bf405b5cc7..4ab1672f0f
--- a/tools/dataset_converters/scripts/preprocess_300w.sh
+++ b/tools/dataset_converters/scripts/preprocess_300w.sh
@@ -3,6 +3,6 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/300w/raw/300w.tar.gz.00 -C $DOWNLOAD_DIR/
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___300w/raw/300w.tar.gz.00 -C $DOWNLOAD_DIR/
 tar -xvf $DOWNLOAD_DIR/300w/300w.tar.00 -C $DATA_ROOT/
-rm -rf $DOWNLOAD_DIR/300w
+rm -rf $DOWNLOAD_DIR/300w $DOWNLOAD_DIR/OpenDataLab___300w
diff --git a/tools/dataset_converters/scripts/preprocess_aic.sh b/tools/dataset_converters/scripts/preprocess_aic.sh
index 726a61ca26..9cb27ccdfb 100644
--- a/tools/dataset_converters/scripts/preprocess_aic.sh
+++ b/tools/dataset_converters/scripts/preprocess_aic.sh
@@ -3,5 +3,5 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/AI_Challenger/raw/AI_Challenger.tar.gz -C $DATA_ROOT
-rm -rf $DOWNLOAD_DIR/AI_Challenger
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___AI_Challenger/raw/AI_Challenger.tar.gz -C $DATA_ROOT
+rm -rf $DOWNLOAD_DIR/OpenDataLab___AI_Challenger
diff --git a/tools/dataset_converters/scripts/preprocess_ap10k.sh b/tools/dataset_converters/scripts/preprocess_ap10k.sh
index a4c330157b..eed785e3d2 100644
--- a/tools/dataset_converters/scripts/preprocess_ap10k.sh
+++ b/tools/dataset_converters/scripts/preprocess_ap10k.sh
@@ -3,6 +3,6 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/AP-10K/raw/AP-10K.tar.gz.00 -C $DOWNLOAD_DIR/
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___AP-10K/raw/AP-10K.tar.gz.00 -C $DOWNLOAD_DIR/
 tar -xvf $DOWNLOAD_DIR/AP-10K/AP-10K.tar.00 -C $DATA_ROOT/
-rm -rf $DOWNLOAD_DIR/AP-10K
+rm -rf $DOWNLOAD_DIR/AP-10K $DOWNLOAD_DIR/OpenDataLab___AP-10K
diff --git a/tools/dataset_converters/scripts/preprocess_coco2017.sh b/tools/dataset_converters/scripts/preprocess_coco2017.sh
index 853975e26b..6b09c8e501 100644
--- a/tools/dataset_converters/scripts/preprocess_coco2017.sh
+++ b/tools/dataset_converters/scripts/preprocess_coco2017.sh
@@ -3,7 +3,7 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-unzip $DOWNLOAD_DIR/COCO_2017/raw/Images/val2017.zip -d $DATA_ROOT
-unzip $DOWNLOAD_DIR/COCO_2017/raw/Images/train2017.zip -d $DATA_ROOT
-unzip $DOWNLOAD_DIR/COCO_2017/raw/Annotations/annotations_trainval2017.zip -d $DATA_ROOT
-rm -rf $DOWNLOAD_DIR/COCO_2017
+unzip $DOWNLOAD_DIR/OpenDataLab___COCO_2017/raw/Images/val2017.zip -d $DATA_ROOT
+unzip $DOWNLOAD_DIR/OpenDataLab___COCO_2017/raw/Images/train2017.zip -d $DATA_ROOT
+unzip $DOWNLOAD_DIR/OpenDataLab___COCO_2017/raw/Annotations/annotations_trainval2017.zip -d $DATA_ROOT
+rm -rf $DOWNLOAD_DIR/OpenDataLab___COCO_2017
diff --git a/tools/dataset_converters/scripts/preprocess_crowdpose.sh b/tools/dataset_converters/scripts/preprocess_crowdpose.sh
index 3215239585..e85d5aeefb 100644
--- a/tools/dataset_converters/scripts/preprocess_crowdpose.sh
+++ b/tools/dataset_converters/scripts/preprocess_crowdpose.sh
@@ -3,5 +3,5 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/CrowdPose/raw/CrowdPose.tar.gz -C $DATA_ROOT
-rm -rf $DOWNLOAD_DIR/CrowdPose
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___CrowdPose/raw/CrowdPose.tar.gz -C $DATA_ROOT
+rm -rf $DOWNLOAD_DIR/OpenDataLab___CrowdPose
diff --git a/tools/dataset_converters/scripts/preprocess_freihand.sh b/tools/dataset_converters/scripts/preprocess_freihand.sh
index b3567cb5d7..bff275f42a 100644
--- a/tools/dataset_converters/scripts/preprocess_freihand.sh
+++ b/tools/dataset_converters/scripts/preprocess_freihand.sh
@@ -3,5 +3,5 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/FreiHAND/raw/FreiHAND.tar.gz -C $DATA_ROOT
-rm -rf $DOWNLOAD_DIR/FreiHAND
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___FreiHAND/raw/FreiHAND.tar.gz -C $DATA_ROOT
+rm -rf $DOWNLOAD_DIR/OpenDataLab___FreiHAND
diff --git a/tools/dataset_converters/scripts/preprocess_hagrid.sh b/tools/dataset_converters/scripts/preprocess_hagrid.sh
index de2356541c..129d27c9f1 100644
--- a/tools/dataset_converters/scripts/preprocess_hagrid.sh
+++ b/tools/dataset_converters/scripts/preprocess_hagrid.sh
@@ -3,6 +3,6 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-cat $DOWNLOAD_DIR/HaGRID/raw/*.tar.gz.*  | tar -xvz -C $DATA_ROOT/..
+cat $DOWNLOAD_DIR/OpenDataLab___HaGRID/raw/*.tar.gz.*  | tar -xvz -C $DATA_ROOT/..
 tar -xvf $DATA_ROOT/HaGRID.tar -C $DATA_ROOT/..
-rm -rf $DOWNLOAD_DIR/HaGRID
+rm -rf $DOWNLOAD_DIR/OpenDataLab___HaGRID
diff --git a/tools/dataset_converters/scripts/preprocess_halpe.sh b/tools/dataset_converters/scripts/preprocess_halpe.sh
index 103d6202f9..628de88ecc 100644
--- a/tools/dataset_converters/scripts/preprocess_halpe.sh
+++ b/tools/dataset_converters/scripts/preprocess_halpe.sh
@@ -3,6 +3,6 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/Halpe/raw/Halpe.tar.gz.00 -C $DOWNLOAD_DIR/
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___Halpe/raw/Halpe.tar.gz.00 -C $DOWNLOAD_DIR/
 tar -xvf $DOWNLOAD_DIR/Halpe/Halpe.tar.00 -C $DATA_ROOT/
-rm -rf $DOWNLOAD_DIR/Halpe
+rm -rf $DOWNLOAD_DIR/Halpe $DOWNLOAD_DIR/OpenDataLab___Halpe
diff --git a/tools/dataset_converters/scripts/preprocess_lapa.sh b/tools/dataset_converters/scripts/preprocess_lapa.sh
index 977442c1b8..c7556ffc87 100644
--- a/tools/dataset_converters/scripts/preprocess_lapa.sh
+++ b/tools/dataset_converters/scripts/preprocess_lapa.sh
@@ -3,5 +3,5 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/LaPa/raw/LaPa.tar.gz -C $DATA_ROOT
-rm -rf $DOWNLOAD_DIR/LaPa
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___LaPa/raw/LaPa.tar.gz -C $DATA_ROOT
+rm -rf $DOWNLOAD_DIR/OpenDataLab___LaPa
diff --git a/tools/dataset_converters/scripts/preprocess_mpii.sh b/tools/dataset_converters/scripts/preprocess_mpii.sh
index 287b431897..c3027c23f6 100644
--- a/tools/dataset_converters/scripts/preprocess_mpii.sh
+++ b/tools/dataset_converters/scripts/preprocess_mpii.sh
@@ -3,5 +3,5 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/MPII_Human_Pose/raw/MPII_Human_Pose.tar.gz -C $DATA_ROOT
-rm -rf $DOWNLOAD_DIR/MPII_Human_Pose
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___MPII_Human_Pose/raw/MPII_Human_Pose.tar.gz -C $DATA_ROOT
+rm -rf $DOWNLOAD_DIR/OpenDataLab___MPII_Human_Pose
diff --git a/tools/dataset_converters/scripts/preprocess_onehand10k.sh b/tools/dataset_converters/scripts/preprocess_onehand10k.sh
index 47f6e8942c..07c0d083d3 100644
--- a/tools/dataset_converters/scripts/preprocess_onehand10k.sh
+++ b/tools/dataset_converters/scripts/preprocess_onehand10k.sh
@@ -3,6 +3,6 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/OneHand10K/raw/OneHand10K.tar.gz.00 -C $DOWNLOAD_DIR/
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___OneHand10K/raw/OneHand10K.tar.gz.00 -C $DOWNLOAD_DIR/
 tar -xvf $DOWNLOAD_DIR/OneHand10K/OneHand10K.tar.00 -C $DATA_ROOT/
-rm -rf $DOWNLOAD_DIR/OneHand10K
+rm -rf $DOWNLOAD_DIR/OneHand10K $DOWNLOAD_DIR/OpenDataLab___OneHand10K
diff --git a/tools/dataset_converters/scripts/preprocess_wflw.sh b/tools/dataset_converters/scripts/preprocess_wflw.sh
index 723d1d158e..298ffc79d2 100644
--- a/tools/dataset_converters/scripts/preprocess_wflw.sh
+++ b/tools/dataset_converters/scripts/preprocess_wflw.sh
@@ -3,6 +3,6 @@
 DOWNLOAD_DIR=$1
 DATA_ROOT=$2
 
-tar -zxvf $DOWNLOAD_DIR/WFLW/raw/WFLW.tar.gz.00 -C $DOWNLOAD_DIR/
+tar -zxvf $DOWNLOAD_DIR/OpenDataLab___WFLW/raw/WFLW.tar.gz.00 -C $DOWNLOAD_DIR/
 tar -xvf $DOWNLOAD_DIR/WFLW/WFLW.tar.00 -C $DATA_ROOT/
-rm -rf $DOWNLOAD_DIR/WFLW
+rm -rf $DOWNLOAD_DIR/WFLW $DOWNLOAD_DIR/OpenDataLab___WFLW