Datasets:
File size: 5,853 Bytes
9d47498 e30d075 ae12898 e30d075 ae12898 e30d075 ae12898 e30d075 ae12898 a07bcc6 eea9475 9d47498 eea9475 c056701 ae12898 9d47498 ae12898 9d47498 ae12898 a07bcc6 9d47498 4f10320 9d47498 ae12898 9d47498 ae12898 98f2eb3 ae12898 98f2eb3 ae12898 9d47498 bbc2c72 9d47498 a07bcc6 ae12898 9d47498 a07bcc6 ae12898 9d47498 ae12898 a07bcc6 9d47498 a07bcc6 9d47498 ae12898 9d47498 ae12898 9d47498 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 |
---
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.
## 🔗 Resources
- **GitHub Repository:** [oishee-hoque/CAFOSat](https://github.com/oishee-hoque/CAFOSat)
- **Explore the Dataset:** [CAFOSat Data Loader and Examples](https://github.com/oishee-hoque/CAFOSat/tree/main/data_loader)
%3C%2Fspan%3E
---
## 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.
📄 Example data loader available [here](https://github.com/oishee-hoque/CAFOSat/tree/main/data_loader).
---
## 🔖 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.
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`
---
## Features (CAFOSat.csv)
| Column | Description |
|---------------------------------------|-----------------------------------------------------------------------------|
| `patch_file` | Path to the image file |
| `label` | Integer label for class (0–6) |
| `barn`, `manure_pond`, `grazing_area`, `others` | Binary flags indicating infrastructure types |
| `geom_bbox` | Bounding box coordinates `[x1, y1, x2, y2]` |
| `geometry` | Geospatial polygon outlining the CAFO region |
| `poly_crs` | Coordinate reference system used for `geometry` |
| `patch_crs` | Coordinate reference system used for the image patch |
| `category` | CAFO class name (e.g., Swine, Dairy) |
| `state` | U.S. state where the patch is located |
| `verified_label` | Boolean indicating if the label is human-verified |
| `CAFO_UNIQUE_ID` | Unique identifier for each CAFO facility |
| `image_type` | Image variant type: `augmented` else real |
| `orig_patch_file` | Name/path of the original patch (applicable if the image_type is `augmented`) |
| `prompt` | Text prompt or description for generative/semantic use (if applicable) |
| `weak_x`, `weak_y` | Collected CAFO center coordinates |
| `refined_x`, `refined_y` | Refined CAFO center coordinates |
| `patch_res` | Spatial resolution of the patch in meters per pixel
| `split columns` | Flags for different train/test/val splits |
---
## 🧪 Train/Test/Val Split Flags
These are boolean-like flags (`True`/`False`) that indicate inclusion in various dataset splits:
- `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).
---
## Labels
| Class ID | Class Name |
|----------|----------------|
| 0 | Negative |
| 1 | Swine |
| 2 | Dairy |
| 3 | Beef |
| 4 | Poultry |
| 5 | Horses |
| 6 | Sheep/Goats |
---
## 📌 Intended Use
- **CAFO detection and classification** – Identify and categorize CAFO facilities from aerial imagery.
- **CAFO area detection with bounding box** – Localize CAFOs using annotated bounding box coordinates.
- **Agricultural infrastructure mapping** – Map features like barns, manure ponds, and grazing areas.
- **Weak supervision and semi-supervised learning** – Leverage partially labeled data for model development.
- **Remote sensing benchmark development** – Support standardized evaluation for remote sensing tasks.
---
## 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 `[email protected]`.
|