COCO Annotator
7.4#5 in ai image annotation toolsFree planFree planWebAPILinuxSelf-hosted
Visit| Fact | COCO Annotator | VGG Image Annotator |
|---|---|---|
| Annotation features | It 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 interoperability | Datasets 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. |
| License | The 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 status | The 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 posture | GitHub 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 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.
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.