Segments.ai vs VGG Image Annotator
Segments.ai
segments.aiVGG Image Annotator
robots.ox.ac.ukSide by side
| Figure | Segments.ai | VGG Image Annotator |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 4 | 2 |
| Spec score · AI Image Annotation Tools | 8.1 (#9) | 8.2 (#7) |
| Spec score · Image Annotation Software | 8.1 (#11) | 8.2 (#8) |
| Spec score · Data Labeling Software | 8.0 (#13) | 8.2 (#9) |
| Funding | Y Combinator says the company was funded in 2021 by Y Combinator, Merus Capital and Volta Ventures. | The project credits UKRI Visual AI and EPSRC Seebibyte research grants for development and maintenance. |
| Intended users | The company describes the product as designed for computer vision engineers and data scientists working in autonomous robotics and driving. | The page describes the software as suitable for academic projects and commercial applications, and includes tools for researchers annotating images, audio and video. |
| Self-hosting | The product is presented as a cloud platform; the reviewed documentation provides cloud access and customer-bucket options but no self-hosted deployment package. | Users can download ZIP archives or standalone HTML files and run them locally or from their own web infrastructure. |
| Support | Fusion includes priority support and mail, Slack, and Discord support. | The makers direct users to an in-app basic guide, a FAQ and email contacts for queries or feedback. |
| What it does | Segments.ai is a cloud data-labeling platform for computer-vision, robotics and autonomous-vehicle teams, supporting images, videos, point clouds and multi-sensor data. | VIA is a manual annotation suite for images, audio and video. |
Plans
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
In their own words
Segments.ai
Segments.ai is a data labeling platform for robotics and autonomous vehicle work, with tools for both images and 3D point clouds. Teams can mark data with segmentation, cuboids, bounding boxes, keypoints, polygons, and polylines, view images alongside point clouds, and project labels between sensors. For sequences, Batch Mode, merged point clouds, interpolation, and automated tracking support labeling across objects and frames. Image workflows include Superpixel, Autosegment, hover-and-click segmentation, and model predictions that teams can review and correct. Its Python SDK handles uploads, label downloads, dataset management, and webhooks; TensorFlow and PyTorch are named integrations. The product is available through web and API access, and datasets can be exported as JSON, PyTorch, TensorFlow, or Hugging Face formats. Core includes cloud bucket integrations. The company states it is EU based, ISO 27001 certified, and GDPR compliant. Pricing is on request, with a 14-day trial; a free academic license is available for non-commercial research at free.
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.