In-Shop (In-shop Clothes Retrieval Benchmark)

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

In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrieval. This is a large subset of DeepFashion, containing large pose and scale variations. It also has large diversities, large quantities, and rich annotations, including:

  • 7,982 number of clothing items;
  • 52,712 number of in-shop clothes images, and ~200,000 cross-pose/scale pairs;

Each image is annotated by bounding box, clothing type and pose type.


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