YOLO-based deep learning model for detecting tiny objects and edges in complex images using OpenCV and Canny filters.

🔧 Technologies Used

• Python
• YOLOv4
• OpenCV
• TensorFlow
• Canny Edge Detection

📌 Features

• High-accuracy object detection on small-scale items
• Enhanced edge recognition using Canny filters
• Image annotation and preprocessing pipeline

🚀 How to Run

1. Clone the repository

2. Set up the virtual environment:

   pip install -r requirements.txt
   
   

Set up the virtual environment

bash Copy pip install -r requirements.txt Download YOLOv4 weights Download the pre-trained YOLOv4 weights from the official site or darknet GitHub and place them in the weights/ directory.

Run detection on an image

bash Copy python detect.py --image path/to/image.jpg Run edge detection

bash Copy python edge_detect.py --image path/to/image.jpg 📷 Demo Tiny Object Detection Edge Detection 🗂 Project Structure csharp Copy tiny-object-detector/ ├── detect.py ├── edge_detect.py ├── yolov4.cfg ├── weights/ │ └── yolov4.weights ├── images/ ├── utils/ ├── requirements.txt └── README.md 📄 License This project is licensed under the MIT License – feel free to use, share, and contribute!

🙌 Acknowledgements YOLO by Alexey Bochkovskiy