Building a real-time video, car, and pedestrian detection application

We'll use the YOLO algorithm to build a Java real-time object detection application. We'll use transfer learning to load the YOLO model that was trained on ImageNet and the COCO dataset. Among other objects, it is trying to detect cars, pedestrians, and traffic lights with quite high accuracy.

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