Face Segmentation Image Dataset
The dataset contains images annotating facial landmarks of people of different races, genders, and ages.
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-
- images
- 87,800+
-
- landmarks
- 100+
- Data annotation
- Anti-spoofing
- Machine learning
- Computer Vision
- Facial Recognition
-
- images
- 87,800+
-
- landmarks
- 100+
Dataset Info
Characteristic | Data |
Description | Video of people with annotated data for facial recognition |
Data types | Video |
Tasks | Facial recognition, Computer Vision |
Number of images | 87,871 |
Number of landmarks | 106 |
Attributes | Eye State, Orientation, Gender, Age, Cap, Race, Mouth State, Background, Glasses |
Labeling | Metadata (ID, ethnicity) |
Gender | Male, Female |
Ethnicity | Asian, Caucasian, African, Indian |
Collecting scene | Indoor, outdoor |
Age | Young people, middle-aged, old-aged |
Statistics
-
- Distribution by gender
-
- Distribution by ethnicity
Technical
Characteristics
Characteristic | Data |
Video extension | jpg |
Extension of labeling file | json |
Accuracy of of facial attributes and landmarks | are over 97% |
Industries
Finance:
-
Fraud Detection:
Utilizing facial landmark analysis to enhance identity verification processes, reducing the risk of fraudulent activities in banking and financial transactions.
-
Banking:
Using biometric authentication for secure access to bank accounts and transactions.
E-commerce and Retail:
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User Experience Research:
Understanding how users react emotionally to products or services through facial landmark analysis
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