@inproceedings{kerner2025ftw,
  annotation = {spotlight,remote_sensing,agriculture},
  title = {{Fields of The World}: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation},
  author = {Kerner, Hannah and Chaudhari, Snehal and Ghosh, Aninda and Robinson, Caleb and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Chris and Mohr, Matthias and Dodhia, Rahul and Ferres, Juan M. Lavista and Marcus, Jennifer},
  author+an = {7=highlight},
  thumbnail = {/thumbnails/ftw.jpg},
  booktitle = {Association for the Advancement of Artificial Intelligence (AAAI)},
  volume = {2409.16252},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  eprint = {2409.16252},
  pdf = {https://arxiv.org/pdf/2409.16252},
  day = {27},
  month = feb,
  year = {2025},
  project = {https://fieldsofthe.world/}
}

@inproceedings{kerner2024ftwagu,
  annotation = {remote_sensing,agriculture},
  author = {Kerner, Hannah Rae and Chaudhari, Snehal and Robinson, Caleb and Ghosh, Aninda and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Christopher and Mohr, Matthias and Marcus, Jennifer},
  title = {{Fields of The World (FTW!)}: A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2024}
}