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# FashionFail Dataset
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The FashionFail dataset, proposed in the paper ["FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation"](https://arxiv.org/abs/2404.08582),
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comprises 2,495 high-resolution images (2400x2400 pixels) of products found on e-commerce websites. The dataset is divided into training, validation, and test sets, consisting of 1,344, 150, and 1,001 images, respectively.
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# FashionFail Dataset
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The FashionFail dataset, proposed in the paper ["FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation"](https://arxiv.org/abs/2404.08582),
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(also check the [project page](https://rizavelioglu.github.io/fashionfail/))
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comprises 2,495 high-resolution images (2400x2400 pixels) of products found on e-commerce websites. The dataset is divided into training, validation, and test sets, consisting of 1,344, 150, and 1,001 images, respectively.
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