Caffe implementation by @weiliu89 , after training mobilenet ssd v1 based on Caffe

Object detection with machine learning and OpenCV

Object detection With YoloV5 vs MobileNetSSDv2

MobileNet SSD with Caffe implementation for person detection algorithm.

Uses mobilenet-ssd dnn to classify objects from IP camera image with openvino framework (works with NCS stick on RPi4)

Python script for object detection using Intel Movidius Neural Compute Stick and a pretrained model to be further used on Raspberry-based hexapod robot.

Detecting licence plates using OpenALPR Library and finding the people without helmets using helmet detection program

A web application which translates speech to sign language and sign language to speech in order to minimize the communication gap between normal people and the people with special need.

Object detection using MobileNet SSD (D/L)

Codes depicting Usage of Keras Library to Create CNN Models, Perform Fine-Tuning and Data-Augmentation on Image Datasets.

Simple app used for detecting objects in images and videos.

Robot-Deployment Team Final Project: Trained Neural Network implementation for custom image recognition

My playground of self-driving GoPiGo3 car using deep learning for computer vision. Technical details can be found in https://blog.zhijiahu.dev/

To develop a prototype device for visually-impaired individuals so they can navigate their route through a known or unknown environment by providing data and cues of common objects or of a known person, that surrounds such individual in their day-to-day life, by making a stand-alone device requiring minimum and transportable equipment.

Classifier | TensorFlow.js | MobileNet

Python Script to detect Person in your empty apartment and Shoot you an email with the picture Every few Sec

Repo for learning various CNN architectures for image & video based object detections using pre-trained models like VGGNet, MobileNet-SSD, ResNet, Mask R-CNN, YoLo, Inception, and Xception models using Tensorflow, Keras, OpenCV, Caffe, DarkNet

Covid-19 medical mask detection for public places

ODIN-AI or Object detection and identification ai is a flutter based mobile application that can detect up-to 9 objects in the camera and assign them with their predicted labels. The deep learning technique used is transfer learning using OpenCV and the SSD MobileNet model.