CageAwareEggDataset / README.md
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---
license: cc-by-4.0
task_categories:
- object-detection
- image-classification
- tabular-regression
language:
- en
tags:
- precision-livestock-farming
- poultry
- robotic-inspection
- egg-counting
- object-detection
- cage-aware-counting
---
# CageAwareEggDataset
CageAwareEggDataset is a robotic inspection image dataset for cage-aware sub-cage egg counting in structured layer hen houses.
The dataset supports production-oriented egg monitoring, where egg counts need to be assigned to physical cage units rather than only reported as whole-image detections.
## Dataset Description
This dataset contains robotic inspection images collected from a structured layer hen house. It includes:
- YOLO-format annotations for eggs and cage structural components
- Sub-cage-level egg-count ground truth
- Vertical-ID group split metadata for spatial generalization testing
- Ground-truth audit logs
- Final result tables for baseline and detector-variant comparisons
## Annotation Classes
The object annotation classes are:
- `egg`
- `cage_edge`
- `cage_roi_row1`
- `cage_support`
## Intended Use
This dataset is intended for research on:
- Precision livestock farming
- Robotic inspection in layer hen houses
- Cage-aware sub-cage egg counting
- Object detection and counting in structured agricultural environments
- Spatial generalization evaluation using vertical-ID group splits
## Validation Protocols
The dataset includes two validation protocols:
1. Image-level random validation
2. Vertical-ID group split for testing spatial generalization to withheld cage positions
## Data Availability
The full image archive is being uploaded. Metadata, split files, audit logs, example images, and result tables will be provided in this repository.
## Citation
If you use this dataset, please cite the associated conference submission:
**Cage-Aware Sub-Cage Egg Counting for Robotic Monitoring in Layer Hen Houses**
Fei Shi and Weihong Ma, EPA 2026 submission.
## License
This dataset is released under the CC BY 4.0 license.