The best image/video annotation tool ever. Check out the demo here.
- Simple input/output format
 - Bounding Box, Point and Polygon Annotation
 - Zooming, Scaling, Panning
 - Multiple Images
 - Cursor Crosshair
 
npm install react-image-annotate
import ReactImageAnnotate from "react-image-annotate" const App = () => ( <ReactImageAnnotate selectedImage="https://example.com/image1.png" taskDescription="# Draw region around each face\n\nInclude chin and hair." images={[{ src: "https://example.com/image1.png", name: "Image 1" }]} regionClsList={["Man Face", "Woman Face"]} /> )To get the proper fonts, make sure to import the Inter UI or Roboto font, the following line added to a css file should suffice.
@import url("https://rsms.me/inter/inter.css");All of the following properties can be defined on the Annotator...
| Prop | Type (* = required) | Description | Default | 
|---|---|---|---|
taskDescription |  *string |  Markdown description for what to do in the image. | |
allowedArea |  { x: number, y: number, w: number, h: number } |  Area that is available for annotation. | Entire image. | 
regionTagList |  Array<string> |  Allowed "tags" (mutually inclusive classifications) for regions. | |
regionClsList |  Array<string> |  Allowed "classes" (mutually exclusive classifications) for regions. | |
imageTagList |  Array<string> |  Allowed tags for entire image. | |
imageClsList |  Array<string> |  Allowed classes for entire image. | |
enabledTools |  Array<string> |  Tools allowed to be used. e.g. "select", "create-point", "create-box", "create-polygon" | Everything. | 
showTags |  boolean |  Show tags and allow tags on regions. | true |  
selectedImage |  string |  URL of initially selected image. | |
images |  Array<Image> |  Array of images to load into annotator | |
showPointDistances |  boolean |  Show distances between points. | false |  
pointDistancePrecision |  number |  Precision on displayed points (e.g. 3 => 0.123) | |
onExit |  MainLayoutState => any |  Called when "Save" is called. | 
This project uses react-storybook. To begin developing run the following commands in the cloned repo.
yarn installyarn storybook
A browser tab will automatically open with the project components.
Consult these icon repositories:

