Vitiligo and Healthy Skin Images for Binary Classification

A multi-source image repository for binary skin disease classification. The dataset contains images of healthy skin and skin affected by vitiligo. The author, organization, and specific collection details are unknown.

Use Cases

• Train a binary image classifier to distinguish vitiligo from healthy skin based on the image repository.
• Benchmark computer vision models for dermatological image analysis using the described multi-source collection.
• Develop a preliminary diagnostic aid for vitiligo detection based on the available skin images.

Strengths

• The dataset is explicitly designed for a binary classification task, providing a clear objective.
• Images are sourced from multiple origins, which may increase diversity.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; image metadata and labeling specifics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle

Collection Method

Aggregated from multiple image sources, as described.