SSD-based Object Detection in PyTorch

서강대학교 현대모비스 SW 프로그램에서 진행한 인공지능 프로젝트입니다.

Jetson nano를 이용해 pre-trained network를 fine tuning시켜 차량 및 신호등 인식을 구현하였습니다.

This repo implements SSD (Single Shot MultiBox Detector) in PyTorch for object detection, using MobileNet backbones. It also has out-of-box support for retraining on Google Open Images dataset.

For documentation, please refer to Object Detection portion of the Hello AI World tutorial:
Re-training SSD-Mobilenet

Thanks to @qfgaohao for the upstream implementation from:


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