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Gilt posture dataset updated
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metadata
annotations_creators:
  - expert-annotated
language:
  - en
license: other
multilinguality: monolingual
pretty_name: Gilt Posture Recognition Dataset
task_categories:
  - object-detection
  - image-classification
task_ids:
  - face-detection
  - multi-class-image-classification
tags:
  - animal-behavior
  - pigs
  - rgb-d
  - depth-sensing
  - yolo
  - posture

Gilt Posture Recognition Dataset

  • Each RGB image has a matching depth image (same filename, .png extension).
  • YOLO-format label files correspond to each image.

🐷 Annotated Postures

Five postures are labeled using YOLO bounding boxes:

Class Name Class ID
feeding 0
lateral_lying 1
sitting 2
standing 3
sternal_lying 4

📊 Class Distribution

Below is a histogram showing the distribution of posture classes across the dataset:

Class Histogram

🧠 Use Cases

  • Animal behavior monitoring
  • Multimodal object detection (RGB + Depth)
  • Precision livestock farming
  • Continuous tracking animal for 3 hours of video

License

The author has granted permission to download, use and redistribute this dataset only for research purposes.

Citation

Please cite as Bhujel A. et al. (2025). Gilt daily posture activity monitoring and tracking.

Contact

For questions or collaborations, feel free to reach out at [email protected]