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Alibaba Cloud PAI iTAG vs VGG Image Annotator

Alibaba Cloud PAI iTAG

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VGG Image Annotator

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Side by side

FigureAlibaba Cloud PAI iTAGVGG Image Annotator
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
WebYesYes
WindowsYesYes
macOS—Yes
LinuxYesYes
APIYes—
Self-hosted—Yes
Plans published12
Spec score · AI Data Labeling Tools8.3 (#4)8.2 (#8)
SupportThe iTAG overview points users to its FAQ and an Alibaba Cloud AI assistant for product, solution, and documentation questions.The makers direct users to an in-app basic guide, a FAQ and email contacts for queries or feedback.

Plans

Alibaba Cloud PAI iTAG

  • iTAG manual labelingFree

Alibaba Cloud PAI iTAG pricing →

VGG Image Annotator

  • FreeFree
  • VGG Image AnnotatorFree

VGG Image Annotator pricing →

In their own words

Alibaba Cloud PAI iTAG

Alibaba Cloud PAI iTAG is a data-labeling platform for image, text, video, audio and multimodal datasets. Built-in image tasks include classification, object detection, OCR, table recognition and semantic segmentation; official templates also cover image-text explanation, conversation ranking, visual question answering and video OCR. Teams can use official or tenant templates, or create templates for business-specific labeling. A job brings together an OSS-backed dataset and template with labels, subtasks, checks, labelers and reviewers. Manual labeling is free, and selected large-model labeling templates are currently free; OSS storage and data transfer are billed separately. Input data must be in Alibaba Cloud OSS, and the workspace and bucket must be in the same region. Dataset imports require an index file rather than a direct path to a folder of raw files. From August 1, 2026, iTAG 1.0 is allowlist-only and in maintenance mode. Existing customers with prior labeling tasks or datasets can continue using current features. New users seeking AI-powered automatic dataset labeling are directed to Multimodal Data Management. API operations include listing, creating, updating and deleting templates and labeling tasks.

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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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