metadata

title: YOLOv5 Cattle Counter
emoji: null
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 deployedusing Gradio for an interactive web interface.

Developer

Developed by Ramon Mayor Martins (2023)

Email: [email protected]
Homepage: https://rmayormartins.github.io/
Twitter: @rmayormartins
GitHub: https://github.com/rmayormartins
my Radio Callsign (PU4MAY) Brazil

Model Information

Model: YOLOv5
Task: Object Detection
Classes: Cattle

How to Use

Upload an image of cattle.
The model will detect and count the number of cattle in the image.
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.

Installation

To install the necessary dependencies, run:

pip install -r requirements.txt

## License

This project is released under the ECL-2.0 license.


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*Check out the configuration reference at [Hugging Face Spaces Config Reference](https://huggingface.co/docs/hub/spaces-config-reference).*