SCIN: Skin Condition Images from U.S. Internet Users

United States-based images of skin conditions collected via a voluntary application from Google Search users. The SCIN (Skin Condition Image Network) dataset aims to supplement health system dermatology data with images from internet users for health education and research. It was created by Google and last updated on the platform in August 2025.

Use Cases

• Training image classification models for dermatology based on user-submitted skin condition photos.
• Augmenting existing clinical datasets with diverse, non-institutional imagery for research.
• Developing health education materials based on representative images from internet users.

Strengths

• Source is Google, indicating a structured collection effort.
• Explicitly aims to increase diversity of dermatology images available for research.
• Last updated on the platform in August 2025.

Limitations

• Row count, column definitions, and file formats are unknown, limiting suitability assessment.
• Data may reflect geographic and source bias inherent to its collection from U.S. Google Search users.
• License information is unavailable, which may restrict usage.

Provenance

Source

Google

Collection Method

Collected from Google Search users in the United States through a voluntary, consented image donation application.

Time Range

null

Freshness

Last updated 2025-08-04 07:35:37; freshness should be verified.

Geography

United States