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README.md
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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
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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://
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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40 People - 3D Living_Face & Anti_Spoofing Data. The collection scenes include indoor and outdoor scenes. The dataset includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The device includes iPhone X, iPhone XR. The data diversity includes various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, 3D Living_Face & Anti_Spoofing.
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For more details, please refer to the link: https://
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### Supported Tasks and Leaderboards
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# Dataset Card for Nexdata/3D_Face_Anti_Spoofing_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/1172?source=Huggingface
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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40 People - 3D Living_Face & Anti_Spoofing Data. The collection scenes include indoor and outdoor scenes. The dataset includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The device includes iPhone X, iPhone XR. The data diversity includes various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, 3D Living_Face & Anti_Spoofing.
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For more details, please refer to the link: https://www.nexdata.ai/datasets/1172?source=Huggingface
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### Supported Tasks and Leaderboards
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