DeepFashion Clothing Dataset

This is a large-scale clothing dataset with comprehensive annotations. The four benchmarks developed based on this dataset are Attribute Prediction, Consumer-to-shop Clothes Retrieval, In-shop Clothes Retrieval and Landmark Detection. The data and annotations of these benchmarks can be used as training sets and test sets for computer vision tasks, such as clothing detection, clothing recognition, image retrieval, etc.

The dataset includes:

• 800,000 clothing images from exquisite sellers and real buyers
• 50 categories, 1,000 descriptive attributes, bounding box, clothing landmark
• More than 300,000 cross-pose/cross-domain image pairs