This project trains a SSD300 with VGG11 base on the PASCAL VOC 2005 dataset using the PyTorch deep learning framework.

SSD300 Model using PyTorch

Deployment of Object Detection Model for NVidia GPUs with use PyTorch & TensorRT

This repository provides a script and recipe to train the SSD300 model to achieve state of the art accuracy. The codes of model architecture comes from NVIDIA(NVIDIA SSD pytorch), and the method belongs to paper SSD: Single Shot MultiBox Detector .

🦜 Object Detection: SSD Model

This is a Video Object Dectection Project

My DATAML300 - Computer vision solutions.

Udacity Self-Driving Car Nanodegree: Vehicle Detection Project

A simple PyTorch implementation of the SSD300 network.

Intern project at Institude of Information Science, Academia Sinica

Object detection on Manga109 dataset using FasterRCNN, RetinaNet and SSD300

SSD300 for Object Detection

PyTorch Implementation of objection detection networks

Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones