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

SSD300 for Object Detection

An autonomous, vision-based Bebop drone.

PyTorch Implementation of objection detection networks

Udacity Self-Driving Car Nanodegree: Vehicle Detection Project

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

Object detection on Manga109 dataset using FasterRCNN, RetinaNet and SSD300

SSD300 implementation with TensorFlow plus re-identification for multi-object tracking

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 .

SSD300 Model using PyTorch

object detection using SSD300 to detect person and cell phone.

Intern project at Institude of Information Science, Academia Sinica

Implementation of augmentation, SMOTE, ADASYN, AE, DGAN for oversampling image data used in detection (YOLO and others one stage detectors). Maritime flags/code scenario.

My DATAML300 - Computer vision solutions.

This is a Video Object Dectection Project

PyTorch version of ndrplz's self-driving-car project.

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

🦜 Object Detection: SSD Model

A simple PyTorch implementation of the SSD300 network.

Implementation of base DL tasks