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--- |
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license: other |
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license_name: server-side-public-license |
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license_link: https://www.mongodb.com/licensing/server-side-public-license |
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task_categories: |
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- object-detection |
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- image-segmentation |
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tags: |
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- fashion |
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- e-commerce |
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- apparel |
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size_categories: |
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- 1K<n<10K |
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--- |
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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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> Note: The annotations are **automatically** generated by foundation models. However, a human annotator reviewed each sample to ensure the accuracy of the annotations. |
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### Download Dataset |
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To address concerns regarding data regulations, we share only the URLs of the images, rather than sharing the image files directly. |
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However, we provide a simple script to facilitate dataset construction. |
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The script initially retrieves annotation files from HuggingFace Datasets, then proceeds to download images using the URLs provided in those annotation files. |
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First, install the repository with: |
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``` |
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git clone https://github.com/rizavelioglu/fashionfail.git |
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cd fashionfail |
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pip install -e . |
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``` |
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Then, execute the following script: |
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``` |
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python src/fashionfail/data/make_dataset.py |
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``` |
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which constructs the dataset inside `"~/.cache/fashionfail/"`. |
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An optional argument `--save_dir` can be set to construct the dataset in the preferred directory. |
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### Annotation format |
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We follow the annotation format of the [COCO dataset](https://cocodataset.org/#format-data). The annotations are stored in the [JSON format](http://www.json.org/) and are organized as follows: |
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``` |
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{ |
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"info" : info, # dict: keys are shown below |
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"licenses" : [license], # List[dict]: keys are shown below |
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"categories" : [category], # List[dict]: keys are shown below |
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"images" : [image], # List[dict]: keys are shown below |
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"annotations" : [annotation], # List[dict]: keys are shown below |
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} |
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info{ |
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"year" : int, |
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"version" : str, |
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"description" : str, |
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"contributor" : str, |
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"url" : str, |
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"date_created" : datetime, |
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} |
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license{ |
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"id" : int, |
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"name" : str, |
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"url" : str, |
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} |
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category{ |
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"id" : int, |
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"name" : str, |
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"supercategory" : str, |
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} |
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image{ |
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"id" : int, |
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"file_name" : str, |
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"height" : int, |
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"width" : int, |
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"license" : int, |
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"original_url" : str, |
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} |
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annotation{ |
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"id" : int, |
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"image_id" : int, |
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"category_id" : int, |
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"area" : int, |
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"iscrowd" : int, # always 0 as instances represent a single object |
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"bbox" : list[float], # [x,y,width,height] |
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"segmentation" : str, # compressed RLE: {"size", (height, widht), "counts": str} |
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} |
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``` |
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### License |
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TL;DR: Not available for commercial use, unless the FULL source code is shared! \ |
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This project is intended solely for academic research. No commercial benefits are derived from it. |
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All images and brands are the property of their respective owners: © adidas 2023. |
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Annotations are licensed under [Server Side Public License (SSPL)](https://www.mongodb.com/legal/licensing/server-side-public-license) |
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### Citation |
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``` |
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@inproceedings{velioglu2024fashionfail, |
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author = {Velioglu, Riza and Chan, Robin and Hammer, Barbara}, |
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title = {FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation}, |
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journal = {IJCNN}, |
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eprint = {2404.08582}, |
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year = {2024}, |
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} |
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``` |
