Object Detection Methods Review
Learn object detection principles, YOLO architecture, and key techniques: adjusting anchors, IoU, loss functions, and non-maximum suppression for accuracy.
Let's review various object detection methods in traditional and deep learning (DL) approaches, exploring their applications and significance across diverse fields. Understanding the different methods of object detection is pivotal, as it serves as a foundational technology with wide-ranging implications in diverse fields.
In the context of object detection algorithms, we distinguish between traditional methods and the dominating methods of deep learning.
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