COCO Annotator

At a glance

• Editor score
  7.7 / 10
• Pricing
  Free plan
• Best for
  Free COCO-focused computer-vision projects
• Free plan
  Yes
• Paid from
  Free
• AI-assisted labeling
  Yes
• Facts checked
  21 Sep 2026

• Where it wins

  • Free and open source with local Docker deployment
  • Supports boxes, polygons, segmentation, keypoints, and metadata
  • COCO import/export, REST API, and semi-automated annotation

• Where it doesn't

  • COCO JSON is the listed export format
  • Self-hosted deployment requires local setup
  • Workflow coverage is narrower than broader platforms

Our verdict on COCO Annotator

COCO Annotator is a web-based, open-source tool for creating image training data for object detection, localization, and keypoint tasks. It is suited to computer-vision teams and individual developers who want a free, self-hosted workspace centered on the COCO dataset format. Annotation options include bounding boxes, polygons, free-form curves, segmentation, keypoints, disconnected object parts, and custom metadata for instances and objects.

Its strongest feature is the combination of detailed manual labeling and semi-automated assistance. The tool supports external models and options such as Magic Wand, DEXTR, and Mask R-CNN, giving projects a way to supplement manual annotation with model-assisted workflows. The REST API covers images, annotations, categories, datasets, and COCO-formatted data, which can help connect annotation work with surrounding computer-vision processes. COCO import and export also keep the product closely aligned with projects already organized around that format.

Deployment is focused on control rather than convenience: the project runs as a web application and can be deployed locally with Docker. That fits teams comfortable managing a self-hosted tool and working directly with their own datasets. Its narrower scope is also clear. COCO JSON is the listed export format, and the workflow and format coverage do not match broader annotation platforms. Choose COCO Annotator when free, open-source deployment and COCO compatibility matter most; choose another option when you need wider export support or a broader managed workflow.

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COCO Annotator pricing

COCO Annotator fact sheet

Alternatives to COCO Annotator

• CVATA broad annotation workspace with flexible deployment, AI assistance, and team workflows.9.4
• RoboflowA broad computer vision workspace spanning annotation, training, evaluation, and deployment.9.2
• BasicAIA broad annotation platform with a free plan, model assistance, and private deployment.9.1

See all COCO Annotator alternatives →

Featured on iTechGuides

COCO Annotator is listed in our AI Image Annotation Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update