Standard DatasetsHuman Body Segmentation Dataset
Advanced datasets and Generative AI are revolutionizing the fashion and e-commerce industries, providing customized experiences and immersive interactions for shoppers worldwide.Our datasets provide valuable insights into fashion trends, styles, and consumer preferences, enabling businesses to deliver personalized shopping experiences.
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.
Sample
Specification
Dataset ID
MD-Image-016
Dataset Name
Human Body Segmentation Dataset
Data Type
ImageVolume
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
Data Collections
Comprising approximately 29k images, this dataset offers a wide range of portraits from live screenshots, capturing various scenarios involving single and multiple subjects along with their accessories. Each image is meticulously annotated to support detailed segmentation, making it an invaluable resource for enhancing applications in apparel fitting, media production, and interactive entertainment, by providing a broad spectrum of human poses and interactions.
Data Applitcation
● Media & Entertainment: Enhance content creation with precise human segmentation.
● Apparel: Develop fashion and virtual fitting solutions with detailed body analysis.
Why choose our Human Body Segmentation Dataset
● Comprehensive Annotations: Detailed segmentation of 19 human body areas.
● Diverse Representation: Even distribution across genders and ages from various regions.
● Versatile Applications: Perfect for AI in fashion, media, and entertainment industries.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Fashionpedia [Learn more]
This dataset includes 48,825 clothing images annotated with segmentation masks and fine-grained attributes, built upon an expertly crafted ontology that encompasses 27 main apparel categories and 19 apparel parts. It's designed to advance tasks combining both detection and attributes classification in the fashion domain.
DeepFashion2 [Learn more]
A comprehensive fashion dataset containing 491K images of 13 popular clothing categories from both commercial and consumer sources. Each item is meticulously labeled with attributes such as scale, occlusion, viewpoint, category, and style, making it a versatile benchmark for clothing image understanding.
DeepFashion [Learn more]
This dataset boasts around 800K diverse fashion images with rich annotations, including 46 categories, 1,000 descriptive attributes, bounding boxes, and landmark information. The variety ranges from well-posed product images to consumer photos, providing a broad spectrum for fashion image analysis.
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