---
license: other
license_name: server-side-public-license
license_link: https://www.mongodb.com/licensing/server-side-public-license
task_categories:
- object-detection
- image-segmentation
tags:
- fashion
- e-commerce
- apparel
---

# FashionFail Dataset

The FashionFail dataset, proposed in the paper ["FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation"](https://arxiv.org/abs/2404.08582),
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.


### Annotation format

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:

```
{
 "info"           : info,         # dict: keys are shown below
 "licenses"       : [license],    # List[dict]: keys are shown below
 "categories"     : [category],   # List[dict]: keys are shown below
 "images"         : [image],      # List[dict]: keys are shown below
 "annotations"    : [annotation], # List[dict]: keys are shown below
}

info{
  "year"          : int,
  "version"       : str,
  "description"   : str,
  "contributor"   : str,
  "url"           : str,
  "date_created"  : datetime,
}

license{
  "id"            : int,
  "name"          : str,
  "url"           : str,
}

category{
  "id"            : int,
  "name"          : str,
  "supercategory" : str,
}

image{
  "id"            : int,
  "file_name"     : str,
  "height"        : int,
  "width"         : int,
  "license"       : int,
  "original_url"  : str,
}

annotation{
  "id"            : int,
  "image_id"      : int,
  "category_id"   : int,
  "area"          : int,
  "iscrowd"       : int,         # always 0 as instances represent a single object
  "bbox"          : list[float], # [x,y,width,height]
  "segmentation"  : str,         # compressed RLE: {"size", (height, widht), "counts": str}
}
```


### License
TL;DR: Not available for commercial use, unless the FULL source code is shared! \
This project is intended solely for academic research. No commercial benefits are derived from it.
All images and brands are the property of their respective owners: © adidas 2023.
Annotations are under [Server Side Public License (SSPL)](https://www.mongodb.com/legal/licensing/server-side-public-license)

### Citation
```
@inproceedings{velioglu2024fashionfail,
  author    = {Velioglu, Riza and Chan, Robin and Hammer, Barbara},
  title     = {FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation},
  journal   = {IJCNN},
  eprint    = {2404.08582},
  year      = {2024},
}
```