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COCO Annotator vs VGG Image Annotator

COCO Annotator

7.4#5 in ai image annotation toolsFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactCOCO AnnotatorVGG Image Annotator
Annotation featuresIt supports object segmentation, keypoints, disconnected objects as one instance, multiple labels per image segment, and custom metadata.The user guide describes drawing regions such as rectangles, circles and points, and importing or exporting annotations as CSV or JSON.
COCO interoperabilityDatasets can be imported from COCO and completed annotations exported directly as COCO data.Official scripts convert or export VIA annotations to COCO and other formats.
LicenseThe repository is distributed under the MIT License, including commercial use rights with attribution.VIA is released under the permissive two-clause BSD license for academic and commercial use.
Release statusThe releases page marks version 0.11.1 as the latest release and lists fixes covering environment booleans, keypoint edges, brush performance, thumbnails, file watching, Celery URLs, and exports.The latest listed VIA3 release is version 3.0.13 from 2 July 2024, described as bug fixes and video-frame annotation improvements.
Security postureGitHub reports that the repository has no SECURITY.md policy and no published security advisories.Because local files are processed in the browser, a tutorial notes that images do not leave the user's machine.

COCO Annotator plans

  • MIT-licensed softwareFree
  • Open-source self-hostedFree

VGG Image Annotator plans

  • FreeFree
  • VGG Image AnnotatorFree

Pick COCO Annotator if…

COCO Annotator suits teams preparing labeled image data for object detection or localization. It is for users comfortable running a self-hosted service with Docker and docker-compose.

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.

Charts they share