Upload your object detection ONNX model and play with the results
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Updated
Apr 15, 2024 - JavaScript
Upload your object detection ONNX model and play with the results
Detect single objects in small, background-blurred and close-focused images
A simple web console application for the object-detection package
Object detection demo using React and AWS Rekognition
The project consists of development of an AI based image repository which uses DNNs for storing, tagging images in the repository.
This is a web based game for doing Hompimpah with the help of Object Detection. The players will choose their move by system using object detection. For now, only Rock Paper Scissors that is implemented in this game.
Welcome to the Object Detection Web App! This project leverages the power of machine learning to detect objects in images using the ml5.js library. 🖼️🤖
this tool is for image batch process for matchine learning | 此工具用于机器学习的图片批量处理
SM SEC is a camera security surveillance web application brought to you by Sarthak Mishra
This is a simple object detection app which uses tensorflow.js and coco-ssd model to detect objects in real time. It uses your webcam to capture the video and then perform detection on it. It can detect multiple objects at a time and draw a bounding box around them.
A web-based implementation of the Media Pipe object detection model for 3D pose estimation . This setup allows real-time 3D object detection directly in the browser without the need for additional software installations.
A visual search engine based on Elasticsearch and Tensorflow
Video Streaming and Tracking using TensorFlow.js
In this work, we present an interactive web application developed for the blind students studying in schools which help them to grasp useful information from various images and graphs.
This is web based image object detector that consists of React.js, FastAPI and TensorFlow.
Tensorflow.js object detection yolov8n coco-Ssd
Detect objects via HTTPS with the power of a remote computer.
API for real-time Object Detection w/ NodeJS and Python
A web-implemented real-time object recognition application, using Tensorflow.js and React.js. The object detection is done via single-shot detection(ssd). Our method required shorter time which is a priority for real time recognition, compared to different other methods, through the whole process of capturing, detecting and recognising objects.
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