ssd-mobilenet

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Multi-object trackers in Python

An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

A Real Time Object Detection application on iOS using Tensorflow and pre-trained COCO dataset models. Video frames are captured and inference is done locally using the provided mobilenet models. Both Swift and Objective-C projects.

Simpler app for tensorflow object detection API

MobileNetV3 SSD的简洁版本

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

Flutter App real-time object detection with Tensorflow Lite

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

This repository contains the script and process to create custom SSD Mobilenet model for object detection

基于PaddlePaddle实现的SSD，包括MobileNetSSD，MobileNetV2SSD，VGGSSD，ResNetSSD

Object detection on Jetson Nano, Raspberry Pi and Laptop

TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS

Face detection model zoo

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection