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Hair Loss Segmentation Dataset
Patient Health Records & Digital Health
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About
This data resource features images of individuals experiencing hair loss, accompanied by segmentation masks tailored for object detection and image segmentation model training. The segmentation masks precisely highlight the areas of the bald scalp, allowing researchers and practitioners to isolate and focus on these regions of interest, potentially aiding in the study of conditions such as androgenetic alopecia. This is a legally sourced collection, carefully structured to ensure robustness for artificial intelligence training and model development, providing high-resolution images in PNG format.
Columns
- link: Provides the necessary address to access the media file, featuring 80 unique values within the available sample data.
- type: Indicates the nature of the image file. The sampled records contain two unique image types, with original photos making up half of the most common values.
- gender: Specifies the gender of the person depicted in the photograph, categorised as 'male' or 'female'.
Distribution
The core asset, including high-resolution images and their associated segmentation masks, is provided in PNG format. Supplementary metadata is available in a CSV file named
bald_people.csv, which is 2.79 kB in size and contains 80 validated records. The data is organised into 'Female' and 'Male' directories. For female subjects, each subfolder contains a top image of the head and a corresponding segmentation mask. For male subjects, each subfolder includes both front and top images of the head, alongside the respective segmentation masks. The expected update frequency for this static dataset is noted as 'Never'.Usage
This collection is ideally suited for various deep learning and computer vision applications, including:
- Training models for bald segmentation and classification tasks.
- Supporting academic or clinical research into hair loss conditions, such as androgenetic alopecia.
- Developing human segmentation models and facial analysis tools.
- Creating high-quality, unique datasets for the deployment of advanced AI models.
- Aiding in bald computer vision and bald detection applications.
Coverage
The data provides visual representations of both male and female individuals. Male subjects account for 75% of the data, while female subjects account for 25%. Image views vary by gender, offering top views for female subjects and both front and top views for male subjects. Specific geographic or time range limitations are not detailed.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
- AI/Machine Learning Engineers: For developing specialised image segmentation and object detection algorithms focused on the human scalp.
- Medical Researchers: To visually study and classify the patterns and characteristics of hair loss.
- Biometrics Specialists: For systems that incorporate biometric data related to the human head or facial analysis.
- Cosmetics and Health Technology Firms: For creating advanced visual recognition tools in product development or clinical settings.
Dataset Name Suggestions
- Hair Loss Segmentation Dataset
- Bald People Segmentation & Object Detection
- Alopecia Image Detection Data
- Biometric Scalp Segmentation
- Hair Segmentation Masks
Attributes
Original Data Source: Hair Loss Segmentation Dataset
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