Tensorflow.js based object detection application for autonomous vehicles

In this study, a web-based application that can detect traffic signs and traffic lights in real time while driving is presented for autonomous vehicles. Initially, a unique data set was created to be used in object detection model training. Then, with the obtained dataset, training was conducted using Tensorflow 2.0's Object Detection API and SSD MobileNet v2 architecture and an object detection model was created. This model has been converted into a format suitable for loading into Javascript for use in web projects with the help of the Tensorflow.js library. An object detection application that makes real-time inferences in the internet browser with the model using WebGL technology and TensorFlow.js library in the background was developed and the results were examined.