6,584 clinical images categorized into 198 distinct dermatological disease classes, including eczema, acne, and various skin cancers. The dataset provides a granular classification of skin conditions for medical imaging research.
Use Cases
- Train a multi-class classification model to identify specific skin diseases among 198 possible labels
- Develop diagnostic tools for differentiating between similar-looking conditions like various types of eczema and acne
- Benchmark computer vision algorithms on fine-grained medical image classification tasks using the 6,584 image samples
Strengths
- 6,584 total images of skin conditions
- 198 distinct disease categories ranging from inflammatory to neoplastic conditions
- Includes specific labels for eczema, acne, and various cancerous conditions