Quality considerations for AI training data: case studies on semantic segmentation of EO imagery

Yinyin Pan, Boyi Shangguan, Dayu Yu, Peng Yue. Quality considerations for AI training data: case studies on semantic segmentation of EO imagery. In 10th International Conference on Agro-geoinformatics, Agro-Geoinformatics 2022, Quebec City, QC, Canada, July 11-14, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{PanSYY22,
  title = {Quality considerations for AI training data: case studies on semantic segmentation of EO imagery},
  author = {Yinyin Pan and Boyi Shangguan and Dayu Yu and Peng Yue},
  year = {2022},
  doi = {10.1109/Agro-Geoinformatics55649.2022.9859230},
  url = {https://doi.org/10.1109/Agro-Geoinformatics55649.2022.9859230},
  researchr = {https://researchr.org/publication/PanSYY22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {10th International Conference on Agro-geoinformatics, Agro-Geoinformatics 2022, Quebec City, QC, Canada, July 11-14, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-7078-0},
}