README.md

metadata

license: cc-by-4.0
language:
  - en
tags:
  - remote-sensing
  - satellite-imagery
  - cafo
  - bounding-box
  - multi-label
  - cafo infrastructure
dataset_type: image-classification
pretty_name: CAFO Infra Dataset
size_categories:
  - 10K<n<100K

---

CAFO Infra Dataset (CAFOSat)

This dataset contains high-resolution satellite image patches used for identifying and analyzing Concentrated Animal Feeding Operations (CAFOs). It includes a mix of manually verified samples, augmented images, and geospatial metadata.

Dataset Structure

The dataset is organized into compressed .tar.gz files by category:

• STATE_filtered.tar.gz: Original patches per U.S. state (e.g., IA_filtered.tar.gz, AL_filtered.tar.gz)
• negative_samples.tar.gz: Negative (non-CAFO) examples
• barn.tar.gz, manure_pond.tar.gz, others.tar.gz: Augmented samples by infrastructure type

All metadata, including image paths, labels, bounding boxes, and infrastructure flags, are stored in:

• cafosat.csv

Features

Each sample includes:

• patch_file: Path to the image inside a .tar.gz archive (e.g., IA_filtered.tar.gz::IA_filtered/crop_4517_patch_123.tif)
• label: Integer class label (0: Negative, 1–6: Livestock type)
• barn, manure_pond, grazing_area, others: Binary infrastructure flags
• geom_bbox: Bounding box for CAFO-related infrastructure
• cafosat_*_train/test/val: Split flags for multiple dataset configurations

Labels

Class ID	Class Name
0	Negative
1	Swine
2	Dairy
3	Beef
4	Poultry
5	Horses
6	Sheep/Goats

Splits

This dataset includes multiple experimental splits defined in the CSV:

• cafosat_verified_training
• cafosat_all_training
• cafosat_augmented_training
• cafosat_training_set1 / set2
• cafosat_merged_training

Each split column (e.g. cafosat_verified_training_train) is binary (1 if the patch belongs to the split, else 0).

Intended Use

The dataset is intended for:

• CAFO detection and infrastructure classification
• Environmental monitoring
• Weak supervision and remote sensing research

Licensing

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
You are free to share and adapt the data, even commercially, as long as you give appropriate credit.

View full license

Citation

TBD

Contact

For questions or contributions, contact gza5dr@virginia.edu.