"Fields of The World: A Machine Learning Benchmark Dataset for Global ..."

Hannah Kerner et al. (2025)

> Home

Details and statistics

DOI: 10.1609/AAAI.V39I27.35034

access: open

type: Conference or Workshop Paper

metadata version: 2025-04-17

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/aaai/KernerCGRACJHMD25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/KernerCGRACJHMD25
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus:
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. AAAI 2025: 28151-28159

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.