Efficient Object Detection, Segmentation, and Recognition Using YOLO Model

This chapter presents a study on efficient object detection, segmentation, and recognition using the YOLO (You Only Look Once) model. The YOLOv3 algorithm is used for object detection and recognition, while contour segmentation is used for object segmentation. The study includes experiments on various images, and the results show that the proposed approach achieves high accuracy and speed in detecting and recognizing objects. The contour segmentation technique also provides precise segmentation of objects in the images. The study demonstrates the effectiveness of the YOLO model in object detection, segmentation, and recognition, and its potential for real-time applications.