Object Detection for Self-Driving Cars using YOLO & SSD🚗

This repository contains a project demonstrating object detection using the YOLO (You Only Look Once) and SSD (Single Shot Detector) models. The dataset includes images captured from car-mounted cameras in various driving conditions.

📦 Dataset

The dataset used in this project is available on my Kaggle page:
👉 Car Camera Photos

📌 Features

• Uses YOLO & SSD for real-time object detection.
• Processes images from an autonomous vehicle dataset.
• Utilizes OpenCV, NumPy, Pandas, and Matplotlib for image processing and visualization.
• Helps in detecting objects like pedestrians, vehicles, and road signs for autonomous driving applications.