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
┗ ...
Annotation Format
Each annotation file corresponds to an image in the dataset and is formatted as per the LabelMe JSON 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.