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Male Hair Loss Dataset - 2 400+ images
Dataset comprises 2,400+ photos of male alopecia (hair loss) captured from 5 angles, meticulously labeled into 7 classes according to the Norwood-Hamilton scale. It is designed for machine learning and deep learning applications, particularly in diagnosing hair disorders, evaluating scalp health, and personalizing hair restoration treatments.
By utilizing this dataset, researchers and dermatologists can enhance hair loss analysis, improve diagnostic accuracy, and develop advanced learning models for early detection of baldness patterns. - Get the data
The dataset includes high-quality scalp images with varying hair density, follicle visibility, and skin types.
π΅ 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
This dataset serves as a critical resource for advancing hair loss treatments, neural networks in dermatology, and AI-powered diagnostic tools with the highest precision.
π UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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