FashionAI 服饰关键点定位数据集

The clothing key point detection data set focuses on the positioning of women's clothing key points. Based on clothing design knowledge, we defined the key points of a set of clothing and sorted out the specific definitions under the six professional categories of women's clothing (tops, jackets, pants, skirts, dresses, and jumpsuits). Researchers can Design algorithms for positioning prediction. Taking into account the complexity of clothing knowledge, we only retain the display pictures of single products/single models in this issue, and will display the category of the product to be predicted for each picture (because jumpsuits are not common in actual scenes, they are not included this data set). The image data is collected from Alibaba e-commerce data. We use the following 3 strategies to randomly select data:
1) Images fall into the above five categories as evenly as possible;
2) The number of display images of a single product (tiled single-piece image)/single-model image (single-model image) is equivalent
3) The number of simple background/complex background images is equal.