Dataloop vs VGG Image Annotator
Dataloop
dataloop.aiVGG Image Annotator
robots.ox.ac.ukSide by side
| Figure | Dataloop | VGG Image Annotator |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 2 |
| Spec score · Image Annotation Software | 7.9 (#13) | 8.2 (#8) |
| Spec score · AI Image Annotation Tools | 7.8 (#12) | 8.2 (#7) |
| Spec score · Data Labeling Software | 7.8 (#14) | 8.2 (#9) |
| Spec score · AI Data Labeling Tools | 7.7 (#13) | 8.2 (#8) |
| Intended users | The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers. | The page describes the software as suitable for academic projects and commercial applications, and includes tools for researchers annotating images, audio and video. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | The makers direct users to an in-app basic guide, a FAQ and email contacts for queries or feedback. |
Plans
In their own words
Dataloop
Dataloop is a paid, enterprise-first AI development platform for building AI applications. It supports unstructured workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal data. Users can work with off-the-shelf or custom models, then version, experiment, compare, and fine-tune them. Drag-and-drop pipelines or the Python SDK can coordinate data, models, and human feedback, including RLHF and other human-centric tasks. A marketplace provides models, datasets, workflow templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, AWS ECR, Google Artifact Registry, and Azure Container Registry. Dataloop lists GDPR compliance, ISO 27001, ISO 27701, and SOC 2 Type II compliance, with AES-256 and TLS v1.2 encryption. Access controls include role-based permissions, SSO, two-factor authentication, and activity logging. Deployment can be on-premises or in private storage. Pricing is available through a specialist demo.
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.