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README.md

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-YAML tags:
-- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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 # Dataset Card for Nexdata/3D_Living_Face_Anti_Spoofing_Data
 
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** https://www.nexdata.ai/datasets/computervision/1089?source=Huggingface
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
+
+## Description
 
 This dataset is just a sample of 1,417 People 3D Living_Face & Anti_Spoofing Data(paid dataset). 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.
                                                                                                                                   
 For more details & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/computervision/1089?source=Huggingface
 
+## Data size
 
-### 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
-
-[More Information Needed]
-
-### 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
-
-[More Information Needed]
+1,417 people, 168 images for each person
 
-## Considerations for Using the Data
+## Population distribution
 
-### Social Impact of Dataset
+race distribution: 1,105 Asians, 136 Caucasians, 176 blacks; gender distribution: 772 males, 645 females; age distribution: 1,080 people aged from 18 to 45, 314 people aged from 46 to 60, 23 people over 60 years old
 
-[More Information Needed]
+## Collecting environment
 
-### Discussion of Biases
+1,156 people were collected in indoor scenes, 261 people were collected in outdoor scenes
 
-[More Information Needed]
+## Data diversity
 
-### Other Known Limitations
+various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes
 
-[More Information Needed]
+## Device
 
-## Additional Information
+iPhone X, iPhone XR
 
-### Dataset Curators
+## Data format
 
-[More Information Needed]
+.jpg, .xml, .json
 
-### Licensing Information
+## Annotation content
 
-Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing  
+label the person – ID, race, gender, age, facial action, collecting scene, light condition
 
-### Citation Information
+## Accuracy
 
-[More Information Needed]
+based on the accuracy of the actions, the accuracy exceeds 97%; the accuracy of label annotation is not less than 97%
 
-### Contributions
+# Licensing Information
+Commercial License