self-driving car: sign detection
Object detection is the main power in many computer vision tasks by serving a bounding box containing an object. This can be useful in surveillance, autonomous driving and many other applications. Our project uses TensorFlow’s official object detection model that is design specific for Google Edge TPU. As a result our custom trained model can perform 167FPS on Google Pixel 4 which is more than enough for using with real-time applications.
Reference project: Pixelopolis
