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

Crop field boundaries are foundational datasets for agricultural monitoring and assessments but are expensive to collect manually. Machine learning (ML) methods for automatically extracting field boundaries from remotely sensed images could help realize the demand for these datasets at a global scal... View More