| --- |
| license: cc-by-4.0 |
| tags: |
| - remote-sensing |
| - satellite-imagery |
| - agriculture |
| - classification |
| - multi-label |
| - bounding-box |
| dataset_type: image-classification |
| pretty_name: CAFOSat Dataset |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CAFOSat: CAFO Infrastructure Dataset |
|
|
| CAFOSat is a remote sensing dataset designed for identifying and classifying 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. |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| The dataset is organized into extracted folders originally packaged as `.tar.gz` files: |
|
|
| - `STATE_filtered/`: Original patches per U.S. state |
| (e.g., `IA_filtered/`, `AL_filtered/`) |
| - `negative_samples/`: Verified non-CAFO examples |
| - `barn/`, `manure_pond/`, `others/`: Augmented synthetic patches by infrastructure type |
| - `cafosat.csv`: Master metadata file with labels, bounding boxes, and split flags |
|
|
| All image paths referenced in the CSV point to these extracted folders. |
|
|
| --- |
|
|
| ## 🔖 Image File Reference (`patch_file`) |
| |
| Each row in the metadata includes a `patch_file` field that provides the relative path to the associated image file. |
| Each `patch_file` is a pointer into a compressed archive using Hugging Face's streaming format: |
|
|
| Example: |
| -`IA_filtered.tar.gz::IA_filtered/crop_4517_patch_10147_Swine_Nursery_IA.tif` |
| - `barn.tar.gz::`barn/aug_patch_00123.tif` |
| - `negative_sample.tar.gz::`barn/neg_patch_00098.tif` |
|
|
| This format indicates the image is located inside `IA_filtered.tar.gz` under the subpath shown. This field is automatically interpreted by Hugging Face as an image using the `datasets.Image()` feature, so image previews and loading work out of the box. |
|
|
| --- |
|
|
| ## Features |
|
|
| | Column | Description | |
| |---------------|-------------------------------------------------------| |
| | `patch_file` | Path to the image file | |
| | `label` | Integer label for class (0–6) | |
| | `barn`, `manure_pond`, `grazing_area`, `others` | Binary infra flags | |
| | `geom_bbox` | Bounding box coordinates `[x1, y1, x2, y2]` | |
| | `category` | Class name (e.g., Swine, Dairy) | |
| | `state` | U.S. state of the patch | |
| | `verified_label` | Human-verified CAFO type | |
| | `CAFO_UNIQUE_ID` | Unique identifier for facility | |
| | `image_type` | `original`, `augmented`, `negative`, etc. | |
| | `split columns` | Flags for different train/test/val splits | |
|
|
| --- |
|
|
| ## Labels |
|
|
| | Class ID | Class Name | |
| |----------|----------------| |
| | 0 | Negative | |
| | 1 | Swine | |
| | 2 | Dairy | |
| | 3 | Beef | |
| | 4 | Poultry | |
| | 5 | Horses | |
| | 6 | Sheep/Goats | |
|
|
| --- |
|
|
| ## Splits |
|
|
| Multiple experimental train-test split columns are provided in the CSV: |
|
|
| - `cafosat_verified_training_train`, `cafosat_verified_training_test`, `cafosat_verified_training_val` |
| - `cafosat_all_training_*` |
| - `cafosat_training_set1_*`, `set2_*` |
| - `cafosat_merged_training_*` |
| - `cafosat_augmented_training_*` |
|
|
| Each flag is a binary indicator (`1` = in split, `0` = excluded). |
|
|
| --- |
|
|
| ## Intended Use |
|
|
| - CAFO detection and classification |
| - Agricultural infrastructure mapping |
| - Weak supervision, semi-supervised learning |
| - Remote sensing benchmark development |
|
|
| --- |
|
|
| ## Citation |
|
|
| *TBD |
| |
| --- |
| |
| ## License |
| |
| This dataset is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/). |
| |
| You are free to share, use, and adapt the data with attribution. |
| |
| |
| ## Contact |
| |
| For questions or contributions, contact `gza5dr@virginia.edu`. |
| |
