ssd300

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

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

Udacity Self-Driving Car Nanodegree: Vehicle Detection Project

Object detection on Manga109 dataset using FasterRCNN, RetinaNet and SSD300

Project on Object Detection using xView Dataset - Image Processing for Computer Vision (MSc), supervised by Prof. G. Scarpa and Eng. M. Ciotola (2024)

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 .

object detection using SSD300 to detect person and cell phone.

This is a Video Object Dectection Project

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.

SSD300 Model using PyTorch

PyTorch Image Classification, Semantic Segmentation, Object Detection, Instance Segmentation, Keypoints Detection Fine-tuning.

My DATAML300 - Computer vision solutions.

Fine-tune a pretrained torchvision SSD300-VGG16 object detector on custom Pascal VOC datasets, also train, evaluate mAP, and run image and video inference.

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

🦜 Object Detection: SSD Model