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Prodigy vs VGG Image Annotator

Prodigy

7.0#5 in ai data labeling tools$390 one-time
WebAPILinuxmacOS
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What both publish

FactProdigyVGG Image Annotator
Intended usersProdigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while its annotation web app can be used without programming experience after setup.The page describes the software as suitable for academic projects and commercial applications, and includes tools for researchers annotating images, audio and video.
MakerProdigy is made by ExplosionAI GmbH, whose legal imprint lists its address in Berlin, Germany.VIA is developed by the Visual Geometry Group in Oxford University's Department of Engineering Science.
Self-hostingProdigy runs locally or on infrastructure chosen by the customer, including on-premise and air-gapped environments.Users can download ZIP archives or standalone HTML files and run them locally or from their own web infrastructure.

Prodigy plans

  • Personal$390, paid once
  • Company$490, paid once

VGG Image Annotator plans

  • FreeFree
  • VGG Image AnnotatorFree

Pick Prodigy if…

Prodigy suits developers and machine-learning teams comfortable with Python and the command line. After setup, its annotation web app can also be used by annotators without programming experience.

Pick VGG Image Annotator if…

VIA suits researchers and others annotating images, audio or video for academic or commercial work. VIA3 is the option to consider for shared projects or audio and video annotation.

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