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CenterNet is a key technique in anchor-free object detection, leading to recent anchorless detectors. This tutorial on LearnopenCV delves into CenterNet's fundamentals, including its representation of objects as key points and prediction output dimensions. The model features three heads, each serving a specific function. Heat map values are determined by exponential distance, with higher values closer to the object center. The tutorial also compares different backbones used in CenterNet.