Open Set Logo Detection Dataset (OSLD Dataset, formerly known as BLAC dataset) is a dataset of eCommerce product images with associated brand logo images (see paper for details). It is released under creative commons (CC BY-NC 4.0) license to promote research in open set logo detection. The dataset can be used only for research purposes. It contains:
- 20K product images, with logo bounding box annotations (this dataset loader in PyTorch can be useful to load and evaluate)
- 12.1K logo classes with 20.8K canonical logo images
- Product image logo bounding box to canonical logo image match pair annotations
- 30 August 2021: Initial release of the dataset
For questions, please contact Muhammet Bastan (mubastan@gmail.com)
@article{OSLD,
author = {Muhammet Bastan and
Hao-Yu Wu and
Tian Cao and
Bhargava Kota and
Mehmet Tek},
title = {{Large Scale Open-Set Deep Logo Detection}},
year = {2019},
url = {http://arxiv.org/abs/1911.07440}
}