Using TensorflowJS detection models in Angular
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Updated
Sep 10, 2020 - TypeScript
Using TensorflowJS detection models in Angular
A simple Tensorflow object detection app to get exposed to machine learning, its implications, and how it can be integrated with front-end frameworks such as React. Uses the CocoSSD preprogrammed model to classify objects through the webcam or camera of the computer.
A simple tutorial on MediaPipe Selfie Segmentation.
Object detection API using TensorflowJS with CocoSSD model
Procto is an Online Proctoring Tool that ensures Cheating free exams. It has features like Mobile Phone, Book, Laptop Detection, Multiple people detection, Key Press Detection, Tab Switch detection etc.
React Web Application to test the COCO SSD pre-trained model to detect objects through the User's Webcam or other video source. Uses Tensorflow.js to run the model directly in the browser.
Hand gesture and object detection in a Daily React app
An object detection application built using React.js, Tensorflow.js, and the COCO-SSD model, which is proficient in detecting over 90 classes of objects. The application allows users to select and preview images and display predictions on the objects present in the image. Utilized Styled-Components with React to create a fully functional program.
Object detection using ReactJS + TensorFlow.js + CocoSSD
A Node.js API for Image Object Detection with Tensorflow.js & COCO SSD pretrained model
Small script to bypass hcaptcha with puppeteer
Real-time object detector for security cameras, webcams or video files using Golang + Tensorflow + OpenCV
Object detection with react webcam and tensorflowjs cocossd
w/ react.js, TensorFlow.js In this project, I’ve built an object detector on React.js w/ Tensorflow.js and the COCO-SSD object detection model which relies on Tensorflow for object recognition. It is trained and capable of detecting more than 90 classes.
Smart app, aids visually impaired shoppers with store product info using AI, QR codes, speech synthesis.
Detect People, start auto recording, click pictures and save it to your device. Works on both mobile and desktop. It uses cocossd Tensorflow Js model for Object Detection. Next js for frontend.
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