mohameddeq7038/Automated-Detection-of-somali-Animal-Species

# Automated Detection of Somali Animal Species A Flask-based web application that uses YOLOv8 to detect and classify Somali animal species from images and webcam feeds. ## Features - **Image Upload:** Upload an image to detect species such as Cape Buffalo, Savanna Elephant, African Lion, Bengal Tiger, and Plains Zebra. - **Webcam Detection:** Real-time species detection using a webcam feed. - **SQLite Database:** Automatically logs prediction results. ## Installation 1. Clone the repository. 2. Install the required dependencies: ```bash pip install -r requirements.txt ``` 3. Run the application: ```bash python app.py ``` ## Note on Model Weights Due to file size limits, the `yolov8m.pt` model weights file and the `dataset` folder are not included in this repository. Ensure you place the necessary YOLOv8 `.pt` files in the correct directory before running.