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# cloudSEN12v1.1
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This repository contains the code for the paper "Lessons learned from CloudSEN12 dataset: Identifying incorrect annotations in cloud semantic segmentation datasets" [https://doi.org/
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## Download the pretrained models
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If you find this work useful for your research, please consider citing:
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```
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For any questions or inquiries, please contact [email@example.com](mailto:email@example.com).
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# cloudSEN12v1.1
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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).
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## Download the pretrained models
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If you find this work useful for your research, please consider citing:
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```
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@inproceedings{aybar_lessons_2023,
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title = {Lessons {Learned} {From} {Cloudsen12} {Dataset}: {Identifying} {Incorrect} {Annotations} in {Cloud} {Semantic} {Segmentation} {Datasets}},
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url = {https://ieeexplore.ieee.org/document/10282381},
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doi = {10.1109/IGARSS52108.2023.10282381},
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booktitle = {{IGARSS} 2023 - 2023 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
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author = {Aybar, Cesar and Montero, David and Mateo-García, Gonzalo and Gómez-Chova, Luis},
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month = jul,
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year = {2023},
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note = {ISSN: 2153-7003},
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pages = {892--895}
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}
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```
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