DeepFashion

Introduced by Liu et al. in DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations

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

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Benchmarks

Add a new result Link an existing benchmark

Task	Dataset Variant	Best Model
Pose Transfer	Deep-Fashion	DiOr
Unsupervised Human Pose Estimation	DeepFashion
Image-to-Image Translation	Deep-Fashion	INADE
Virtual Try-on	Deep-Fashion	MG-VTON
Image Retrieval	DeepFashion	STIR
Text-to-3D-Human Generation	DeepFashion	CCH