# Cattle Body Parts Image Dataset for Object Detection Dataset
## Intro
This dataset is a curated collection of images featuring various cattle body parts aimed at facilitating object detection tasks. The dataset contains a total of 428 high-quality photos, meticulously annotated with three distinct classes: "Back," "Head," and "Leg."
## Motivation
Accurate and reliable identification of different cattle body parts is crucial for various agricultural and veterinary applications. This dataset aims to provide a valuable resource for researchers, developers, and enthusiasts working on object detection tasks involving cattle, ultimately contributing to advancements in livestock management, health monitoring, and related fields.
## Data
### Overview
- Total Images: 428
- Classes: Back, Head, Leg
- Annotations: Bounding boxes for each class
### Contents
```
📦 Cattle_Body_Parts_OD.zip
┣ 📂 images
┃ ┣ 📜 image1.jpg
┃ ┣ 📜 image2.jpg
┃ ┗ ...
┗ 📂 annotations
┣ 📜 image1.json
┣ 📜 image2.json
â”— ...
```
### Annotation Format
Each annotation file corresponds to an image in the dataset and is formatted as per the [LabelMe](https://github.com/wkentaro/labelme) [JSON](https://www.json.org/json-en.html) standard. These annotations define the bounding box coordinates for each labeled body part, enabling straightforward integration into object detection pipelines.
## License

This work is licensed under a Creative Commons Attribution 4.0 International License.