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metadata
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
tags:
  - dermatology research
  - detection
  - classification
  - skin
  - people
  - skin problems
size_categories:
  - 1K<n<10K

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

💵 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.

🌐 UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects