README.md

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:

🧠 Use Cases

• Animal behavior monitoring
• Multimodal object detection (RGB + Depth)
• Precision livestock farming

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). A Computer Vision dataset for Gilts' daily activity monitoring and tracking.

Contact

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