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Fields of The World: A Machine Learning Benchmark Dataset For Global
  Agricultural Field Boundary Segmentation

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

24 September 2024
Hannah Kerner
Snehal Chaudhari
Aninda Ghosh
Caleb Robinson
Adeel Ahmad
Eddie Choi
Nathan Jacobs
Chris Holmes
Matthias Mohr
Rahul Dodhia
J. L. Ferres
Jennifer Marcus
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Papers citing "Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation"

2 / 2 papers shown
Title
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Burak Ekim
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Michael Schmitt
Rahul Dodhia
J. L. Ferres
OODD
111
1
0
18 Dec 2024
On the Generalizability of Foundation Models for Crop Type Mapping
On the Generalizability of Foundation Models for Crop Type Mapping
Yi-Chia Chang
Adam J. Stewart
Favyen Bastani
Piper Wolters
Shreya Kannan
George R. Huber
Jingtong Wang
Arindam Banerjee
36
1
0
14 Sep 2024
1