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Home Neural Networks

Top And Easy to use Open-Source Image Labelling Tools for Machine Learning Projects | by MRINAL WALIA | Nov, 2020

December 12, 2020
in Neural Networks
Top And Easy to use Open-Source Image Labelling Tools for Machine Learning Projects | by MRINAL WALIA | Nov, 2020
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CVAT has many powerful features: interpolation of bounding boxes between keyframes, automatic annotation using deep learning models, shortcuts for most of the critical actions, dashboard with a list of annotation tasks, LDAP and basic authorization, etc.

Label Studio is a swiss army knife of data labelling and annotation tools.

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Try it now in a running app and check out the introductory post.

Its purpose is to help you label different types of data using a simple interface with a standardized output format. Using Label Studio, you can save time and create a custom tool and interface in minutes.

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— Simplicity built-in, no overcomplicated UIs

— Supports different datatypes

— Visually configurable from top to the bottom

VoTT is an open-source annotation and labelling tool for image and video assets.

VoTT is a React + Redux Web application, written in TypeScript. This project was bootstrapped with Create React App.

Features include:

  • The ability to label images or video frames
  • Extensible model for importing data from local or cloud storage providers
  • Extensible model for exporting labelled data to local or cloud storage providers

Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. This Github repository is about building custom interfaces on the Labelbox platform.

Credit: BecomingHuman By: MRINAL WALIA

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