Create image annotations. Classify, tag images with polygons, bounding boxes or points.

A tool to quickly Search and Annotate images online from multiple sources. Built with ❤️ using React

Speculative Annotation is a web browser application written in Javascript and built with React, FabricJS, IIIF, OpenSeaDragon, and ChakraUI. Source images are hosted locally. The application uses the OpenSeadragon Viewer to render images, so your source images can be a combination of locally hosted images (within the application), or externally hosted images (for example, served from a IIIF image server).Application metadata is represented by a combination of local IIIF Presentation API 3.0 manifest files, and Library of Congress hosted IIIF manifest files. The application allows users to annotate select free to use items from the Library of Congress, save to browser or download locally.

An Interactive show-and-tell application built using React that allows contributors to upload an image and then annotate that image with notes pinned to specific parts of the image being described. Viewers can then explore the collection of uploaded images and read all the annotations attached to each image.

React based frontend for dataset-image-annotator

React library to annotate the images

Annotate images with SVG based polygons. React Hooks

React package for highlighting/annotating points of interest on images

Computer vision annotation platform with tooling built on react-image-annotate

A JavaScript React Library (npm package) which provides an area over an image to annotation/markup/write. One can easily annotate over image in react.js by installing react-image-annotate-mngo package

A lightweight, extensible React component for image annotation. **react-annotator-lite** enables freehand drawing and threaded comments directly on images or canvases, with a responsive layout, rich metadata handling, and built-in UI components for action bars, comment sidebars, and overlays.

MedImageX is a web-based tool for viewing and annotating medical images, supporting DICOM, PNG, and JPEG formats, with a responsive interface built using React, TypeScript, and KonvaJS.

A modern, full-stack photobook application to organize, search, view, annotate, and collage images from your computer, Google Photos, and web URLs. Built with Node.js (Express), React (Material-UI), and industry best practices.

This is a simple full stack object detection app with data science where to user can upload an image to detect and count the number of objects. Front end is done using React JS, Back End is done using Python and Flask. YoloV8 was used to annotate and train the model.

SmartReading is an AI-powered utility meter reading solution combining a React Native mobile app with a Python FastAPI backend, utilizing a custom-trained YOLOv9 model (96.7% mAP@0.5) on 2,500+ annotated meter images to achieve automated digit detection and reading extraction with 94.2% accuracy in under 1 second.

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React image component that supports drawing annotations

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Fork for react-image-annotate

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Created with CodeSandbox

react-multiple-image-annotate

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- Customisation for react-image-annotate

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