metadata
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"
Annotation format
We follow the annotation format of the COCO dataset. The annotations are stored in the JSON format 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)
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},
}