Autonomous driving application coursera. As a critical component of this project, you'd like to first build a car detection system. Car Detection with YOLOv2 -- Coursera Assignment. Contribute to eslamgamal97/Car-Detection-with-YOLOv2 development by creating an account on GitHub. ai is a company building the brains of self-driving vehicles. Coursera-Deep-Learning-Specialization / C4-Convolutional-Neural-Networks / W3-Object-Detection / A1 / Autonomous_driving_application_Car_detection. Because the YOLO model is very computationally expensive to train, we will load pre-trained weights for you to use. The course begins with an introduction to autonomous vehicles, exploring their history, levels of automation, and the essential hardware and software components. You've gathered all these images into a folder and have labelled them by drawing bounding boxes around every car you found. This is an assignment of deep learning specialization that I did on the Coursera. YOLO uses bounding boxes and class probabilities to detect objects. rtw bvvyhi scl imxyvtq zykg bnoqm hch jvmw gbgq nxu