DeepFashion is a dataset containing around 800K diverse fashion images with their rich annotations (46 categories, 1,000 descriptive attributes, bounding boxes and landmark information) ranging from well-posed product images to real-world-like consumer photos.
Source: A Benchmark for Inpainting of Clothing Images with Irregular Holes
Variants: Deep-Fashion, DeepFashion
This dataset is used in 2 benchmarks:
Task | Model | Paper | Date |
---|---|---|---|
Text-to-3D-Human Generation | CCH | Text-guided 3D Human Generation from … | 2023-05-23 |
Image Retrieval | RCCapsNet | Fashion Image Retrieval with Capsule … | 2019-08-26 |
Recent papers with results on this dataset: