CAFOSat is a new strongly annotated remote-sensing dataset for CAFO mapping that uses human-in-the-loop refinement and curated negatives, with benchmarks on CNNs, transformers, and vision-language models plus a synthetic augmentation pipeline.
A high- resolution, us-scale digital similar of interacting livestock, wild birds, and human ecosystems with applications to multi- host epidemic spread,
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CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
CAFOSat is a new strongly annotated remote-sensing dataset for CAFO mapping that uses human-in-the-loop refinement and curated negatives, with benchmarks on CNNs, transformers, and vision-language models plus a synthetic augmentation pipeline.