1,200+ high-quality facial images of 400 individuals categorized by skin tone, skin type, and camera pose. The dataset provides detailed annotations for dermatological conditions including acne, rashes, and lesions across frontal and profile views.
Use Cases
- Train deep learning models for automated acne and rash classification using the provided dermatological annotations
- Develop multi-view diagnostic systems that utilize frontal and profile images to detect lesions
- Benchmark the accuracy of skin condition detection algorithms across varying skin tones and types
Strengths
- 1,200+ high-resolution images featuring 400 unique human subjects
- Three-view coverage per person including frontal, left profile, and right profile shots
- Specific labels for dermatological features such as lesions, acne, and rashes
- Representation of diverse skin tones ranging from lighter to darker pigmentation