|
--- |
|
license: cc-by-nc-sa-4.0 |
|
--- |
|
|
|
# cloudSEN12v1.1 |
|
|
|
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](https://doi.org/10.1109/IGARSS52108.2023.10282381). |
|
|
|
## Download the pretrained models |
|
|
|
Download the pretrained models from [HuggingFace](https://huggingface.co/csaybar/cloudSEN12v1.1) and place them in the `weights` folder. |
|
|
|
## Visualize errors |
|
|
|
A comprehensive visualization of the errors can be found in the [HuggingFace](https://huggingface.co/csaybar/cloudSEN12v1.1) repository. |
|
|
|
![1046](https://github.com/cloudsen12/cloudSEN12v1.1/assets/16768318/162e11a9-041f-4769-99a2-d57422a27f9e) |
|
|
|
|
|
## Usage |
|
|
|
1. Clone the repository: |
|
|
|
```bash |
|
git clone https://github.com/username/cloudSEN12v1.1.git |
|
cd cloudSEN12v1.1 |
|
``` |
|
|
|
## License |
|
|
|
The code is licensed under the [MIT License](LICENSE). CloudSEN12v1.1 dataset and pre-trained models are licensed under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
|
|
|
## Citation |
|
|
|
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} |
|
} |
|
``` |