This project implements YOLO (You Only Look Once) — a real-time object detection system using OpenCV and a pre-trained YOLOv3 model. The system can detect multiple classes of objects in images and videos with high accuracy and speed.
- Real-time object detection using YOLOv3
- Supports both image and video inputs
- Customizable confidence and threshold values
- Bounding boxes with labels and confidence scores
- Detects multiple objects simultaneously
- Python
- OpenCV
- YOLOv3 (Darknet)
- Numpy