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  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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  ---
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- # Dataset Card for Datatang/Multi-pose_and_Multi-expression_Face_Data
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  ## Dataset Description
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- - **Homepage:** https://bit.ly/3xWSKej
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  1,507 People 102,476 Images Multi-pose and Multi-expression Face Data. The data includes 1,507 Chinese people (762 males, 745 females). For each subject, 62 multi-pose face images and 6 multi-expression face images were collected. The data diversity includes multiple angles, multiple poses and multple light conditions image data from all ages. This data can be used for tasks such as face recognition and facial expression recognition.
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- For more details, please refer to the link: https://bit.ly/3xWSKej
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  ### Supported Tasks and Leaderboards
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  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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+ # Dataset Card for Nexdata/Multi-pose_and_Multi-expression_Face_Data
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
 
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  ## Dataset Description
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+ - **Homepage:** https://www.nexdata.ai/datasets/9?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  1,507 People 102,476 Images Multi-pose and Multi-expression Face Data. The data includes 1,507 Chinese people (762 males, 745 females). For each subject, 62 multi-pose face images and 6 multi-expression face images were collected. The data diversity includes multiple angles, multiple poses and multple light conditions image data from all ages. This data can be used for tasks such as face recognition and facial expression recognition.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/9?source=Huggingface
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  ### Supported Tasks and Leaderboards
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