This repository contains the code for the paper "Lessons learned from CloudSEN12 dataset: Identifying incorrect annotations in cloud semantic segmentation datasets" https://doi.org/10.1109/IGARSS52108.2023.10282381.
Download the pretrained models from HuggingFace and place them in the weights folder.
A comprehensive visualization of the errors can be found in the HuggingFace repository.
- Clone the repository:
git clone https://github.com/username/cloudSEN12v1.1.git
cd cloudSEN12v1.1The code is licensed under the MIT License. CloudSEN12v1.1 dataset and pre-trained models are licensed under the CC BY-NC-SA 4.0.
If you find this work useful for your research, please consider citing:
@inproceedings{aybar_lessons_2023,
title = {Lessons {Learned} {From} {Cloudsen12} {Dataset}: {Identifying} {Incorrect} {Annotations} in {Cloud} {Semantic} {Segmentation} {Datasets}},
url = {https://ieeexplore.ieee.org/document/10282381},
doi = {10.1109/IGARSS52108.2023.10282381},
booktitle = {{IGARSS} 2023 - 2023 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
author = {Aybar, Cesar and Montero, David and Mateo-García, Gonzalo and Gómez-Chova, Luis},
month = jul,
year = {2023},
note = {ISSN: 2153-7003},
pages = {892--895}
}