Animal Intrusion Detection And CropProtection Using Yolo And Sound Devices

The YOLO algorithm redefines object detection by framing it as a regression problem. Instead of sliding window approaches, YOLO divides an image into a grid and assigns bounding boxes to objects within grid cells. Each bounding box prediction also includes class probabilities, making YOLO a single-pass approach that efficiently localizes and classifies objects simultaneously.