---
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.