Using TensorflowJS detection models in Angular
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Updated
Sep 10, 2020 - TypeScript
Using TensorflowJS detection models in Angular
Real-time object detector for security cameras, webcams or video files using Golang + Tensorflow + OpenCV
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.
An AI-powered web application leveraging Next.js 14 and TensorFlow.js for real-time object detection. Utilizing Tensorflow model for accurate detection, webcam integration for live video streams, and Media Recorder API for seamless recording.
A Node.js API for Image Object Detection with Tensorflow.js & COCO SSD pretrained model
A simple tutorial on MediaPipe Selfie Segmentation.
Small script to bypass hcaptcha with puppeteer
Object detection using ReactJS + TensorFlow.js + CocoSSD
Hand gesture and object detection in a Daily React app
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.
Smart app, aids visually impaired shoppers with store product info using AI, QR codes, speech synthesis.
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 with react webcam and tensorflowjs cocossd
Object detection API using TensorflowJS with CocoSSD model
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