Two categories of skin lesion images facilitate binary classification between Monkeypox and Non-monkeypox cases. The collection includes specific visual examples of Chickenpox and Measles to support differential diagnosis of viral rashes.
Use Cases
- Train a binary image classifier using the Monkeypox and Non-monkeypox labels.
- Develop a screening algorithm to distinguish Monkeypox lesions from Chickenpox and Measles samples.
- Benchmark model performance on identifying specific viral skin manifestations using the binary classification categories.
- Test the generalization of skin lesion detection models across Monkeypox, Chickenpox, and Measles image data.
Strengths
- Binary labels for Monkeypox and Non-monkeypox classification.
- Negative class samples specifically featuring Chickenpox and Measles lesions.
- Image-based dataset focused on the visual morphology of viral skin infections.
- Differentiates Monkeypox from other viral infections with similar dermatological symptoms.