UniDataPro/facial-skin-condition-dataset

Human Faces Dataset

Dataset comprises 1,200+ high-quality facial images of 400 people, capturing diverse skin tones (lighter to darker), various skin types, and multiple poses (frontal, left/right profiles). Designed for dermatology research, it provides detailed annotations of skin diseases, lesions, acne, rashes, and other dermatological conditions, enabling robust disease detection, classification, and diagnosis.

It is ideal for training deep learning models, improving detection algorithms, and advancing medical imaging in healthcare. - Get the data

Designed for advanced skin disease classification, AI-powered diagnostics, and dermatological research, this dataset provides a balanced representation of male and female subjects across diverse skin tones, ages, and ethnicities

Frequently Asked Questions

What is this facial skin condition dataset used for?

This facial skin condition dataset can support research in dermatology-focused computer vision, AI-assisted skin analysis, and medical image classification.

How was the facial skin condition data collected?

The images were collected through verified crowdsourcing platforms, providing photographs of real people.

What demographic information is included with the images?

Each image includes metadata such as participant ID, gender, age, and ethnicity. These attributes allow researchers to perform more detailed dataset analysis and evaluate model behavior across different demographic groups.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Example of the data

Each image is labeled with metadata, including ID, gender, age, and ethnicity, making it ideal for demographic-based dermatology research.

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