Model 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.

本数据集《模型服装分割数据集》专为电子商务与零售行业量身定制，其中包含一组通过互联网收集的816 x 1224像素分辨率的图像。该数据集专注于对高分辨率图像进行语义分割，以展示各式各样的服装模型，包括男装、女装及儿童服饰，旨在精确反映真实人类的轮廓线条。标注内容涵盖了模特所穿服装的详细分割，例如帽子、鞋子、上衣和下装等。