SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

A Keras port of Single Shot MultiBox Detector

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

A Light CNN based Method for Hand Detection and Orientation Estimation

Optical character recognition for Chinese subtitles using SSD and CNN

PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)

Single Shot MultiBox Detector(SSD)目标检测算法

Image SSD object detection in Java using Tensorrflow

Single Shot MultiBox Detector implemented with TensorFlow

Emotion classification has always been a very challenging task in Computer Vision. Using the SSD object detection algorithm to extract the face in an image and using the FER 2013 released by Kaggle, this project couples a deep learning based face detector and an emotion classification DNN to classify the six/seven basic human emotions.

Cone detector trained using the Tensorflow Object Detection API

This repo implements SSD in PyTorch and provides training and inference code on VOC dataset

Single Shot Multibox Detector on Caltech pedestrian dataset

Counting people, dog and bicycle using SSD detection and tracking.

📹🔊 Web app recognizer of objects in camera. Also you can hear which objects are detected. And it works offline after first load!

AI-driven weapon detection system for real-time surveillance. Developed on TensorFlow, achieved precision of 0.8524 and 0.7006 at IoU 0.50 and 0.75. Utilizes key frame extraction and SSD-MobileNet, enhancing efficiency. Developed on Windows 10, Python 3.7.3, and TensorFlow 1.14.0. Boosts security with low-cost, automated threat recognition.

PyTorch based implementation of Single Shot Multibox Detector paper

Object detection using a pretrained SSD network

An implementation of Single Shot Detection (SSD) using the Burn deep learning framework in Rust