<ul><li>YOLO is a powerful tool for object detection that can quickly identify and organize items.</li><li>The blog discusses training a YOLO model to recognize and categorize stationery items.</li><li>It covers preparing a custom dataset, training the model, and evaluating its performance.</li><li>The results folder provides insights into the model's performance, including metrics like precision, recall, and mAP.</li></ul>

Training YOLO on Custom Datasets to Build Accurate and Efficient Object Detection Models

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