VGG Image Annotator
Lightweight browser-based image annotation tool by Oxford VGG group.
About
VIA, the VGG Image Annotator from Oxford's Visual Geometry Group, takes a deliberately minimal approach to dataset labeling: the entire tool is a single HTML file, typically under 400 KB, that runs fully offline in any modern browser with nothing to install. Annotators draw rectangles, circles, ellipses, polygons, and points on images and attach textual attributes to each region, then export the results for training or analysis. The project spans three generations: VIA 2 focuses on image annotation, while VIA 3 extends to video and audio with temporal segment marking and spatial region tracking across frames, and newer builds add shared collaborative projects. Created by Abhishek Dutta, Andrew Zisserman, and collaborators, it is open source under the BSD-2-Clause license, permitting commercial use, with code hosted on GitLab. Its zero-setup nature has made it a staple in academic computer vision labs and for quick labeling jobs where a full annotation platform would be overkill; the group reports millions of uses.
Should you use VGG Image Annotator?
Pick it when
Pick this when you need to label a small image or video set right now on any machine, including locked-down or offline lab computers, since the whole tool is one HTML file opened in a browser with nothing to install.
Look elsewhere when
Skip it when you want model-assisted labeling or a multi-annotator workflow with roles and review: X-AnyLabeling adds SAM and YOLO auto-labeling, and CVAT adds team management and quality checks for large datasets.
Alternatives to VGG Image Annotator
- Labelme
Native desktop app with similar shapes plus SAM-assisted polygons, MIT licensed, but installed per machine: free via pip or as a paid standalone build.
- X-AnyLabeling
Adds SAM, YOLO, and VLM auto-labeling plus automatic multi-object tracking and rotated boxes, at the cost of a desktop install and GPL-3.0 terms.
- CVAT
Server platform with teams, review, and AI assistance for large or shared projects, far heavier to run than VIA's single file.
- YOLO-Label
Quicker for pure YOLO bounding-box jobs with keyboard class selection and direct text export, but no polygons, attributes, or video.
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Details
- Category
- Data Labeling & Annotation
- Price
- Free
- Platform
- Web
- Difficulty
- Beginner (1/5)
- License
- BSD-2-Clause
- Added
- Apr 3, 2026