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