fashionfail / README.md
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---
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
FashionFail dataset proposed in the paper, ["FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation"](https://arxiv.org/abs/2404.08582)
## 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},
}
```