Open Palm Hand Images Dataset
This high-quality open palm dataset includes 500,000 annotated images collected from 50,000 people, with each set containing six palm photos, two printed-hand images, and two replay videos. Designed for hand recognition and computer vision research, it provides detailed metadata - age, gender, ethnicity, profession, device type, dominant hand, and jewelry status.
-
- Images
- 500,000
-
- People
- 50,000
- Image Processing
- Machine Learning
- Hand Recognition
- Forensics
- Computer Vision
This high-quality open palm dataset includes 500,000 annotated images collected from 50,000 people, with each set containing six palm photos, two printed-hand images, and two replay videos. Designed for hand recognition and computer vision research, it provides detailed metadata - age, gender, ethnicity, profession, device type, dominant hand, and jewelry status.
- Image Processing
- Machine Learning
- Hand Recognition
- Forensics
- Computer Vision
-
- Images
- 500,000
-
- People
- 50,000
Dataset Info
| Characteristic | Data |
| Description | Open palm images designed for training and evaluating hand-based identification algorithms |
| Data types | Image |
| Tasks | Hand Recognition, Computer Vision |
| Total number of files | 500,000 |
| Number of people | 50,000 |
| Number of files in a set | 10 images (6 hand, 2 printed hand, 2 replay) |
| Labeling | Metadata (Age, gender, ethnicity, profession (or previous job), device, dominant hand, has_jewelry ) |
| Gender | Male, Female |
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Technical
Characteristics
| Characteristic | Data |
| Image Extensions | JPG |
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