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

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.

Single Shot MultiBox Detector implemented with TensorFlow

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

Cone detector trained using the Tensorflow Object Detection API

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

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.

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

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

PyTorch based implementation of Single Shot Multibox Detector paper

A flask based web app which uses Single Shot Multibox Detector to detect human faces

Pytorch implementation of the You Only Look Once (YOLO) algorithm for object detection

Real time Object detection: object detection system to enhance pedestrian safety and assist visually impaired individuals in navigating urban environments through real-time obstacle detection and alerts.

Single Shot MultiBox Detector deployed on a OAK-D Lite cam via DepthAI

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

Polyp Localization In Colonscopy Videos using Single Shot Multibox Detector

Single Shot Multibox Detector by CUDNN6 and C

Single shot multi box detector in Pytorch

A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!

Implements a Single Shot MultiBox Detector to detect products in shelf images. - https://arxiv.org/abs/1512.02325

Detect Masks on Face

En el presente repositorio se encuentra el proceso de desarrollo, en fase de prueba de concepto, de un sistema de monitoreo de rapidez y obtención de matrículas de automóviles, dicho proceso se detalla en forma secuencial. Adicional se incluyen los documentos durante el desarrollo y los enlaces a las herramientas necesarias para la elaboración del mismo. De forma general el sistema detecta automóviles que se mueven en un área delimitada, al mismo se le realiza un seguimiento y se asigna un identificador, luego se obtiene la rapidez que posee en un punto específico, y se captura una imagen del automóvil, tanto el identificador, la rapidez y la imagen del automóvil son enviados a los servicios de Amazon Web Services en donde se abstrae de la imagen los valores de la matrícula y junto al identificador y la rapidez se almacenan en una base de datos. Si el automóvil supera un límite de rapidez establecido se notifica por correo electrónico al infractor.