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Datasets:
jonaden
/
pig-detection-and-tracking

Tasks:
Object Detection
Other
Modalities:
Image
Video
Languages:
English
Tags:
object-detection
multi-object-tracking
pigs
pig
animals
animal
License:
Dataset card Files
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 Community
jonaden commited on
Commit
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1 Parent(s): 3883d5b

add data

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  1. .gitattributes +4 -0
  2. README.md +98 -0
  3. detection/PigDetect.zip +3 -0
  4. detection/coco_annotations/test.json +3 -0
  5. detection/coco_annotations/train.json +3 -0
  6. detection/coco_annotations/val.json +3 -0
  7. tracking/PigTrack/pigtrack0001.zip +3 -0
  8. tracking/PigTrack/pigtrack0002.zip +3 -0
  9. tracking/PigTrack/pigtrack0003.zip +3 -0
  10. tracking/PigTrack/pigtrack0004.zip +3 -0
  11. tracking/PigTrack/pigtrack0005.zip +3 -0
  12. tracking/PigTrack/pigtrack0006.zip +3 -0
  13. tracking/PigTrack/pigtrack0007.zip +3 -0
  14. tracking/PigTrack/pigtrack0008.zip +3 -0
  15. tracking/PigTrack/pigtrack0009.zip +3 -0
  16. tracking/PigTrack/pigtrack0010.zip +3 -0
  17. tracking/PigTrack/pigtrack0011.zip +3 -0
  18. tracking/PigTrack/pigtrack0012.zip +3 -0
  19. tracking/PigTrack/pigtrack0013.zip +3 -0
  20. tracking/PigTrack/pigtrack0014.zip +3 -0
  21. tracking/PigTrack/pigtrack0015.zip +3 -0
  22. tracking/PigTrack/pigtrack0016.zip +3 -0
  23. tracking/PigTrack/pigtrack0017.zip +3 -0
  24. tracking/PigTrack/pigtrack0018.zip +3 -0
  25. tracking/PigTrack/pigtrack0019.zip +3 -0
  26. tracking/PigTrack/pigtrack0020.zip +3 -0
  27. tracking/PigTrack/pigtrack0021.zip +3 -0
  28. tracking/PigTrack/pigtrack0022.zip +3 -0
  29. tracking/PigTrack/pigtrack0023.zip +3 -0
  30. tracking/PigTrack/pigtrack0024.zip +3 -0
  31. tracking/PigTrack/pigtrack0025.zip +3 -0
  32. tracking/PigTrack/pigtrack0026.zip +3 -0
  33. tracking/PigTrack/pigtrack0027.zip +3 -0
  34. tracking/PigTrack/pigtrack0028.zip +3 -0
  35. tracking/PigTrack/pigtrack0029.zip +3 -0
  36. tracking/PigTrack/pigtrack0030.zip +3 -0
  37. tracking/PigTrack/pigtrack0031.zip +3 -0
  38. tracking/PigTrack/pigtrack0032.zip +3 -0
  39. tracking/PigTrack/pigtrack0033.zip +3 -0
  40. tracking/PigTrack/pigtrack0034.zip +3 -0
  41. tracking/PigTrack/pigtrack0035.zip +3 -0
  42. tracking/PigTrack/pigtrack0036.zip +3 -0
  43. tracking/PigTrack/pigtrack0037.zip +3 -0
  44. tracking/PigTrack/pigtrack0038.zip +3 -0
  45. tracking/PigTrack/pigtrack0039.zip +3 -0
  46. tracking/PigTrack/pigtrack0040.zip +3 -0
  47. tracking/PigTrack/pigtrack0041.zip +3 -0
  48. tracking/PigTrack/pigtrack0042.zip +3 -0
  49. tracking/PigTrack/pigtrack0043.zip +3 -0
  50. tracking/PigTrack/pigtrack0044.zip +3 -0
.gitattributes CHANGED
@@ -57,3 +57,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ detection/coco_annotations/*.json filter=lfs diff=lfs merge=lfs -text
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+ detection/coco_annotations/train.json filter=lfs diff=lfs merge=lfs -text
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+ detection/coco_annotations/val.json filter=lfs diff=lfs merge=lfs -text
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+ detection/coco_annotations/test.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,101 @@
1
  ---
2
  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-4.0
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+ viewer: false
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+ annotations_creators:
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+ - expert-generated
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+ task_categories:
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+ - object-detection
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+ - other
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+ language:
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+ - en
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+ pretty_name: PigBench
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+ source_datasets:
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+ - original
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+ tags:
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+ - object-detection
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+ - multi-object-tracking
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+ - pigs
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+ - pig
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+ - animals
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+ - animal
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+ - computer-vision
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+ - precision-livestock-farming
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+ modalities:
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+ - image
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+ - video
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+ doi: 10.1016/j.compag.2025.111264
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  ---
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+
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+
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+ # 🐷 Dataset for the paper: Benchmarking pig detection and tracking under diverse and challenging conditions
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+ *Note: This dataset does not provide a load_dataset interface*.
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+
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+ More detailed descriptions about the dataset can be found in the [corresponding paper](https://doi.org/10.1016/j.compag.2025.111264).
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+
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+ # ⬇️ Downloading the dataset
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+
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+ You can download the repository using the Hugging Face CLI. First, install the following package:
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+
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+ ```bash
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+ pip install huggingface_hub
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+ ```
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+
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+ The entire dataset can then be downloaded as follows:
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+
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+ ```bash
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+ hf download \
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+ jonaden/pig-detection-and-tracking \
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+ --repo-type dataset \
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+ --local-dir ./pig-detection-and-tracking
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+ ```
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+
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+ You can also either specify an individual file to download or use the ``--include`` flag to download a specific folder.
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+
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+ # 🗂️ Overview
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+ The data is structured as follows:
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+
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+ ```
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+ pig-detection-and-tracking/
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+ ├── detection/
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+ ├── PigDetect.zip
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+ └── coco_annotations/
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+ ├── train.json
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+ ├── val.json
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+ └── test.json
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+ └── tracking/
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+ ├── PigTrack/
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+ ├── pigtrack0001.zip
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+ ├── pigtrack0002.zip
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+ ├── ...
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+ ├── pigtrack0080.zip
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+ └── split.txt
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+ ├── PigTrackVideos.zip
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+ └── PigTrackViz.zip
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+ ```
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+
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+ ``PigDetect.zip`` contains 2931 jpeg images from 31 different conventional barn environments.
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+
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+ Each sequence ``pigtrackxxxx.zip`` contains the corresponding jpeg images and multi-object tracking annotations in the DanceTrack format.
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+
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+ ``PigTrackVideos.zip`` and ``PigTrackViz.zip`` provide the raw mp4 videos of the sequences as well as the visualized annotations.
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+
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+ More information about all files can be found in the READMEs of the original data repositories located [here](https://doi.org/10.25625/I6UYE9) and [here](https://doi.org/10.25625/P7VQTP).
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+
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+ Further files related to the work, such as trained model checkpoints for pig detection and tracking, can also be found there.
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+
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+ # 📌 Citation
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+
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+ If you find this dataset useful, please cite as follows:
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+
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+ ```bibtex
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+ @article{pigbench2026,
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+ title = {Benchmarking pig detection and tracking under diverse and challenging conditions},
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+ author = {Henrich, Jonathan and Post, Christian and Zilke, Maximilian and Shiroya, Parth and Chanut, Emma and Yamchi, Amir Mollazadeh and Yahyapour, Ramin and Kneib, Thomas and Traulsen, Imke},
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+ journal = {Computers and Electronics in Agriculture},
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+ volume = {241},
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+ pages = {111264},
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+ year = {2026},
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+ publisher = {Elsevier},
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+ doi = {10.1016/j.compag.2025.111264}
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+ }
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+ ```
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