Bald spots of men and women dataset

Bald spots of men and women

Photos of people with varying degrees of alopecia to train a neural network to identify and classify areas of baldness

Use Case

Computer Vision

Ability of a machine to interpret, analyze, and understand visual data

Data Collection

Gathering data for subsequent annotation

Classification

Process of recognition and grouping of objects into preset categories

Medicine

Automation of work and creation of prediagnostic systems in MedTech

1 000

of people

7 weeks

project duration

Case Description

The dataset was created using internal collection channels, crowdsourcing platforms and partner organizations. Each set consists of 1-3 photos of a person with a bald head taken from different angles by another person

The classification of images was carried out according to the Norwood scale. Each image was assigned a type with 7 stages of baldness (type_1, type_2, ..., type_7), gender, age and origin

Data format: jpg, xml file with metadata

Download sample

Additional services:

Bounding box detection

determination of the head, hair area and baldness in the photo using rectangles

/01

Interactive segmentation

defining and highlighting the area of hair and baldness in a photo with assigning each pixel a class

/03

Semantic segmentation

Matting

identification and selection of bald spots in the photo with the assignment of a specific label to each pixel

pixel-by-pixel selection of the head and hair area to remove or change the background, overlay AR/VR effects and masks

/02

/04

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