Object Detection Web App

This project is a Streamlit-based web application that performs real-time object detection using the YOLOv8 deep learning model.

The application allows users to upload images or use a webcam to detect objects with bounding boxes, confidence scores, and object counts.

Features

• Image upload detection
• Real-time webcam object detection
• Bounding box visualization
• Confidence score display
• Object counting
• Interactive Streamlit interface

Technologies Used

• Python
• YOLOv8 (Ultralytics)
• Streamlit
• OpenCV
• NumPy
• Pandas
• Pillow

Project Structure