lufficc/SSD
A modular PyTorch implementation of SSD (Single Shot MultiBox Detector) for object detection with support for multiple backbones and multi-GPU training.

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This repository provides a high-quality, fast reference implementation of the SSD object detection algorithm in PyTorch. The implementation is modular, allowing researchers to easily swap components like backbones (VGG, EfficientNet), detectors, and box predictors. It supports distributed training across multiple GPUs, batched inference, evaluation during training, and TensorBoard visualization of metrics.