JeffWang0325/Image-Identification-for-Self-Driving-Cars
🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.
This tool helps autonomous vehicle developers analyze visual data by identifying key objects like cars, pedestrians, traffic lights, and traffic signs within images or videos. It takes various visual inputs such as folders of images/videos, YouTube streams, or webcam feeds, and outputs classified objects and their locations, along with performance metrics. This is for engineers and researchers working on self-driving car perception systems.
Use this if you need to quickly prototype or demonstrate object detection and classification capabilities for autonomous driving scenarios, with an intuitive graphical interface.
Not ideal if you need a production-ready, highly optimized, or real-time embedded system for a deployed self-driving car.
Stars
51
Forks
13
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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