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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.
Python code for performing YOLO object detection validation across various confidence thresholds for all classes and outputing the results in excel file
Experience seamless license plate recognition with our Python-based project utilizing YOLOv8. Achieve rapid and accurate detection for diverse applications, from security surveillance to traffic management