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
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- Distribution by gender
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- 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:
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Fraud Detection:
Utilizing facial landmark analysis to enhance identity verification processes, reducing the risk of fraudulent activities in banking and financial transactions.
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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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