The "Human Body Segmentation Dataset" serves the fashion, internet, and entertainment sectors with a diverse collection of human body images. This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios. With fine labeling of 19 human body areas, it facilitates advanced semantic segmentation tasks.
If you has interested in the full version of the datasets, featuring 85.7k annotated images, please visit our website maadaa.ai and leave a request.
| Dataset ID | MD-Image-016 |
|---|---|
| Dataset Name | Human Body Segmentation Dataset |
| Data Type | Image |
| Volume | About 85.7k |
| Data Collection | Internet collected images of video screenshot, resolution ranges from 568 × 320 to 4000 × 3000 |
| Annotation | Semantic Segmentation |
| Annotation Notes | A large division of the human body including the human body, arms, hands, background or background, obstructions, hair, Sunglasses + glasses, and skin in different areas. |
| Application Scenarios | Media & Entertainment, Apparel |
Since 2015, maadaa.ai has been dedicated to delivering specialized AI data services. Our key offerings include:
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Data Collection: Comprehensive data gathering tailored to your needs.
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Data Annotation: High-quality annotation services for precise data labeling.
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Off-the-Shelf Datasets: Ready-to-use datasets to accelerate your projects.
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Annotation Platform: Maid-X is our data annotation platform built for efficient data annotation.
We cater to various sectors, including automotive, healthcare, retail, and more, ensuring our clients receive the best data solutions for their AI initiatives.