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A comprehensive toolkit for converting image classification datasets into object detection datasets and training them using YOLOv8. This project streamlines the process of dataset preparation, augmentation, and training, making it easier to leverage YOLOv8 for custom object detection tasks.
Computer vision AI enables machines to interpret and understand visual information from images or videos, mimicking human vision. It involves image recognition, object detection, and scene analysis, enhancing automation, surveillance, and various applications.
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.