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.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
In-Shop
|
Unicom+ViT-L@336px
|
|||
|
In-Shop
|
CGD
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
