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| 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: [[email protected]](mailto:[email protected]) | |
| - 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. | |