This repository provides an improved, more readable implementation of the CenterNet object detection model originally proposed in the Objects as Points paper. It includes a training framework built on a custom deep learning library with ResNet backbones, automatic performance reporting, and vectorized operations for better speed. The project reports mAP metrics on standard benchmarks and provides pre-trained model weights.