Facial Skin Defects Images from 4,788 Chinese Individuals

5,105 images of human facial skin defects from 4,788 Chinese individuals. It includes five labeled defect types: acne, acne marks, stains, wrinkles, and dark circles. The data is intended for tasks like skin defect detection.

Use Cases

• Train a multi-label image classifier to identify acne, acne marks, stains, wrinkles, and dark circles in facial images.
• Develop a skin defect detection model using the 5,105 labeled images across five categories.
• Analyze the distribution and co-occurrence of different skin defect types, such as acne and acne marks, within the dataset.

Strengths

• Contains 5,105 labeled images.
• Covers five specific facial skin defect categories: acne, acne marks, stains, wrinkles, and dark circles.
• Data is sourced from 4,788 distinct individuals.

Limitations

• The dataset is described as a sample; the full dataset is paid, limiting access and potential size for analysis.
• Geographic coverage is limited to Chinese individuals, which may limit model generalizability to other populations.
• No information is provided on image resolution, annotation quality, or potential class imbalances.

Provenance

Source

Nexdata via Hugging Face.

Collection Method

Collection method is not specified in the provided input.

Freshness

The dataset was last updated on 2025-04-24.

Geography

China.