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LabelLLM vs VGG Image Annotator

LabelLLM

github.com

VGG Image Annotator

robots.ox.ac.uk

Side by side

FigureLabelLLMVGG Image Annotator
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Self-hosted—Yes
Plans published02
Spec score · AI Data Labeling Tools5.5 (#22)8.2 (#8)

Plans

LabelLLM

No plans published.

LabelLLM pricing →

VGG Image Annotator

  • FreeFree
  • VGG Image AnnotatorFree

VGG Image Annotator pricing →

In their own words

LabelLLM

LabelLLM has no write-up on Specifiction yet; its figures are above.

Visit github.com

VGG Image Annotator

VGG Image Annotator (VIA) is a suite of lightweight browser tools for manually annotating images, audio, and video. The applications are distributed as single HTML files, allowing offline use without installation or setup. VIA3 handles images, video, audio, and shared or collaborative projects. VIA2 works with image files, does not support shared projects, and remains maintained. Annotation shapes include rectangles, circles, ellipses, points, polygons, and polylines. Projects can import or export annotations as CSV or JSON, while scripts support COCO and Web Annotation formats; a Python package converts VIA projects to COCO. Shared work can use a free public Version File Store maintained by the Visual Geometry Group, or a user-run VFS. VIA is built with HTML, CSS, and JavaScript without external libraries and released under the two-clause BSD license for academic and commercial use. Downloads include ZIP archives and standalone HTML files for versions 2 and 3. The makers provide a guide, FAQ, and email contacts.

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