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Dataset Card for Nexdata/Living_Face_Anti-Spoofing_Data
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://www.nexdata.ai/datasets/971?source=Huggingface
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
1,056 People Living_face & Anti-Spoofing Data. The collection scenes include indoor and outdoor scenes. The data includes male and female. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The data includes multiple postures, multiple expressions, and multiple anti-spoofing samples. The data can be used for tasks such as face payment, remote ID authentication, and face unlocking of mobile phone.
For more details, please refer to the link: https://www.nexdata.ai/datasets/971?source=Huggingface
Supported Tasks and Leaderboards
face-detection, computer-vision: The dataset can be used to train a model for face detection.
Languages
English
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
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Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing
Citation Information
[More Information Needed]