Datasets › FashionFail

FashionFail

Introduced by Riza Velioglu et al. in FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation22 Apr 2024 archive 2025-07-28

The FashionFail dataset comprises 2,495 high-resolution images (2400x2400 pixels) of products found on e-commerce websites. It is designed to address the limitations of existing state-of-the-art fashion parsing models. FashionFail consists of a diverse set of online shopping images with categories that are compatible with the established Fashionpedia dataset. The dataset is divided into training, validation, and test sets, consisting of 1,344, 150, and 1,001 images, respectively.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Server Side Public License (SSPL)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FashionFail

1 variant name, as the archive lists them.

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