Standard DatasetsModel Clothing Segmentation Dataset
The "Model Clothing Segmentation Dataset" is curated for the e-commerce & retail sector, featuring a collection of internet-collected images with a resolution of 816 x 1224 pixels. This dataset focuses on semantic segmentation of high-resolution images showcasing models in various outfits, encompassing male, female, and children's wear, to accurately reflect real human silhouettes. The annotations include detailed segmentation of the clothing worn by the models, such as hats, shoes, tops, and bottoms.
Sample
Specification
Dataset ID
MD-Image-093
Dataset Name
Model Clothing Segmentation Dataset
Data Type
ImageVolume
About About 2k
Data Collection
Internet collected images. Resolution is 816 x 1224.
Annotation
Semantic Segmentation
Annotation Notes
Collect clear, high-resolution images showcasing models dressed in varied outfits, including male, female, and children, reflecting real human silhouettes. Annotation the clothing worn by the Model- include hats, shoes, tops, bottoms, etc.
Application Scenarios
E-Commerce
Data Collections
This dataset includes approximately 2k images, each providing clear and detailed segmentation of the attire worn by models. The precise annotation of different clothing items makes this dataset particularly valuable for applications in e-commerce and retail, such as virtual try-ons, online shopping interfaces, and fashion trend analysis, by offering a rich resource for understanding and visualizing how different garments and accessories look on diverse body types, enhancing the shopping experience and product presentation in digital retail platforms.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
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简介
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