Standard DatasetsSegmentation and Key Points of Human Body 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 "Segmentation and Key Points of Human Body Dataset" is designed for the apparel and visual entertainment sectors, featuring a collection of internet-collected images with resolutions ranging from 1280 x 960 to 5184 x 3456 pixels. This dataset is comprehensive, including instance and semantic segmentation of 27 categories of body parts along with 24 key points annotations, providing detailed data for human body analysis and applications.
Sample
Specification
Dataset ID
MD-Image-053
Dataset Name
Segmentation and Key Points of Human Body Dataset
Data Type
ImageVolume
About 6.6k
Data Collection
Internet collected images. Resolution ranges from 1280*960 to 5184*3456
Annotation
Semantic Segmentation,Instance Segmentation
Annotation Notes
The dataset includes 27 categories of body parts and 24 key points.
Application Scenarios
Apparel;Visual Entertainment
Data Collections
This dataset comprises approximately 6.6k images, each detailed with segmentation of various body parts and annotated with key points, covering a wide spectrum of human poses and figures. The extensive categorization of body parts and precise key point annotations make this dataset invaluable for developing advanced apparel fitting technologies, enhancing character modeling and animation in visual entertainment, and supporting a wide range of applications requiring detailed human body analysis.
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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