CAFOSat: High-Resolution Satellite Imagery of U.S. Animal Feeding Operations

CAFOSat is a remote sensing dataset for identifying Concentrated Animal Feeding Operations (CAFOs) across various U.S. states. It includes high-resolution image patches, infrastructure annotations, bounding boxes, and experimental train-test splits for multiple configurations. The dataset was created by oishee3003 and was last updated on June 6, 2025.

Use Cases

• Training object detection models to locate CAFOs based on bounding box annotations.
• Classifying types of agricultural infrastructure based on annotated image patches.
• Benchmarking remote sensing models using the provided experimental train-test splits.
• Analyzing the spatial distribution of concentrated animal farming across U.S. states.

Strengths

• Includes high-resolution satellite image patches.
• Provides infrastructure annotations and bounding boxes for model training.
• Offers experimental train-test splits for multiple configurations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Geographic coverage is specified only as 'various U.S. states'; specific states are not listed.

Provenance

Source

oishee3003 on Hugging Face.

Collection Method

Likely gathered and annotated from commercial or public satellite imagery sources.

Freshness

Last updated 2025-06-06 03:39:38.

Geography

Various U.S. states.