11,000 hand images collected from 190 subjects, categorized by dorsal and palmar views for gender and biometric classification. Each image is associated with metadata including subject ID, age, and gender labels to support multi-task learning.
Use Cases
- Train a CNN for gender classification using the gender label and image data
- Implement biometric identification algorithms using the subject ID as the target class
- Perform side-by-side comparison of dorsal vs. palmar features for person re-identification
Strengths
- 11,000 high-resolution images across 190 distinct subjects
- Labels for dorsal (back) and palmar (palm) hand orientations
- Metadata covering gender, age, and unique subject identifiers