---
title: YOLOv5 Cattle Counter
emoji: 🐮🤖
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 4.12.0
app_file: app.py
pinned: false
license: ecl-2.0
---

# YOLOv5 Cattle Counter

This project uses a YOLOv5 model to detect and count cattle in images. The model was trained using custom data and is deployed using Gradio for an interactive web interface.

## Developer

Developed by Ramon Mayor Martins (2024)

- Email: [rmayormartins@gmail.com](mailto:rmayormartins@gmail.com)
- Homepage: [https://rmayormartins.github.io/](https://rmayormartins.github.io/)
- Twitter: [@rmayormartins](https://twitter.com/rmayormartins)
- GitHub: [https://github.com/rmayormartins](https://github.com/rmayormartins)
- my Radio Callsign (PU4MAY) Brazil

## Model Information
- **Model:** YOLOv5
- **Task:** Object Detection
- **Classes:** Cattle

## How to Use
1. Upload an image of cattle.
2. The model will detect and count the number of cattle in the image.
3. The output will display the image with bounding boxes around detected cattle and the total count.

## Example
You can use the provided example image to test the model.