Labellab Components

Labellab Components is a JavaScript library for providing a ui to label images, text, video, audio.

A dead simple file labeler

These are the components that drive Labellab. We have open sourced this to facilitate ownship of your data once labeled.

  • Unified UI and labels: Labellab Components makes it painless to generate labeled datasets.

Contributing

The main purpose of this repository is to continue to evolve how we label Datasets, making it faster and easier to use.

Current Feature Set

  • Text - document classification
  • Image - document classification, box tool, polygon tool

Install

npm install labellab-components --save

Screenshots

  • Classify Images

labellab-components

  <Labeler
    url="https://www.hakaimagazine.com/wp-content/uploads/header-bald-eagle-nests.jpg"
    fileType="image"
    labelChoices={["bug","whale","bird","dog","cat","human"]}
    onComplete={(labels) => {
      console.log(labels)
    }}
    onReject={() => {
      console.log("rejected")
    }}
  />
  • Box and Classify Images

labellab-components2

  <Labeler
    url="http://www.nba.com/media/history/chamberlain_reb_200.jpg"
    fileType="image"
    labelGeometry="box"
    labelChoices={["basketball","head","foot","arm","body"]}
    onComplete={(labels) => {
      console.log(labels)
    }}
    onReject={() => {
      console.log("rejected")
    }}
  />
  • Polygon and Classify Images

labellab-componentsV

  <Labeler
    url="https://images.pond5.com/girl-driving-motorcycles-first-person-footage-084718933_prevstill.jpeg"
    fileType="image"
    labelGeometry="polygon"
    labelChoices={["car","motorcycle","road","person","body","stopped","outbound","inbound"]}
    onComplete={(labels) => {
      console.log(labels)
    }}
    onReject={() => {
      console.log("rejected")
    }}
  />

Roadmap of Features

  • Text - word classification
  • Audio - time series classification
  • Video - time series classification, polygon tool for frames

GitHub