Datasets:
Formats:
imagefolder
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K - 10K
License:
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
- 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]