V7 Darwin
V7 Darwin: A broad annotation platform for teams building computer-vision and medical-imaging datasets. Ranked #7 of 28 in Image Annotation Software by our editors (8.4/10); pricing: Free plan · pricing on request; best for teams annotating medical and video imagery.
At a glance
- Editor score8.4 / 10
- PricingFree plan · pricing on request
- Best forTeams annotating medical and video imagery
- Free planYes
- Model-assisted labelingYes
- Founded2018 · London, United Kingdom
- Facts checked20 Sep 2026
Where it wins
- Supports many annotation types, including masks, skeletons, keypoints, and polygons
- AI-assisted labeling, model-in-the-loop workflows, and external model integration
- Video and DICOM interpolation plus multi-stage review and collaboration
Where it doesn't
- Paid pricing uses custom platform fees, user licenses, and volume-based charges
- Its broad workflow may be more than teams needing simple image labeling
- The platform is web-based and API-accessible rather than open source
Our verdict on V7 Darwin
V7 Darwin is a web-based data-labeling platform for teams creating machine-learning datasets from images, video, medical imaging, microscopy, documents, and other visual data. It is suited to AI teams, research groups, and enterprise organizations that need structured annotation, review workflows, dataset management, and export options. Annotation types include polygons, bounding boxes, tags, skeletons, keypoints, lines, ellipses, masks, attributes, text, directional vectors, and instance IDs. Supported imagery includes common image files, DICOM, microscopy formats, and NIfTI files.
Pricing is organized around a Custom plan with a custom platform fee, user licenses, and volume-based data processing charges. A free plan is available, while the published pricing information directs prospective customers to a demo for the full suite. The platform connects with AWS, Google Cloud, Microsoft Azure, TensorFlow, and PyTorch, and provides API and SDK access for dataset and annotation management. Exports include Darwin JSON, Darwin XML, COCO, CVAT, YOLO, Semantic PNG, Instance PNG, Pascal VOC, and NIfTI.
Its strongest fit is for projects where annotation depth and workflow control matter. Auto-Annotate and SAM support AI-assisted labeling, while keyframe-based interpolation addresses video and DICOM workflows. Model-in-the-loop processing, external model integration, conditional review logic, role-based assignments, and real-time collaboration support teams with multiple stages of quality control. Teams seeking a focused, simple labeling utility may find this scope unnecessary; teams handling medical or video imagery and needing broad formats, review stages, and integration points should consider V7 Darwin.
Your product? Our editors can test V7 Darwin in depth and publish a review, labelled as paid · from $149/mo →
V7 Darwin pricing
All 1 V7 Darwin plans and prices →
V7 Darwin fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Annotation types | Polygon; bounding box; tag; skeleton; keypoint; line; ellipse; mask; attributes; text; directional vector; instance ID |
| Image formats | .jpg, .jpeg, .webp, .png, .bmp, .svs, .tif, .tiff, .qtiff, .dcm, .rvg, .nii, .nii.gz, .ndpi |
| Model-assisted labeling | Yes |
| Dataset export | Darwin JSON; Darwin XML; COCO; CVAT; YOLO; Semantic PNG; Instance PNG; Pascal VOC; NIfTI |
| Team collaboration | Yes |
| API access | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, HIPAA |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: AWS, Google Cloud, Microsoft Azure, TensorFlow, PyTorch |
| Pricing | Free plan · pricing on request (source) |
| Website | v7darwin.com |
| Facts checked | 20 Sep 2026 |
V7 Darwin integrations
V7 Darwin lists 5 integrations on its own site.
- AWS
- Google Cloud
- Microsoft Azure
- TensorFlow
- PyTorch
Alternatives to V7 Darwin
- PixanoA flexible open-source choice for teams annotating 2D and 3D vision datasets.9.0
- CVATA broad CV workflow spanning manual, AI-assisted, collaborative, and programmatic annotation.8.9
- Label StudioFlexible image annotation with open-source deployment, AI assistance, and broad exports.8.8
See all V7 Darwin alternatives →
V7 Darwin vs the competition
- V7 Darwin vs Pixano
- V7 Darwin vs CVAT
- V7 Darwin vs Label Studio
- V7 Darwin vs Roboflow
- V7 Darwin vs FiftyOne
- V7 Darwin vs Supervisely
Compare V7 Darwin with any tool side by side →
Also Ranked In
V7 Darwin is ranked in 5 of our directories.
Used V7 Darwin? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used V7 Darwin for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
V7 Darwin is listed in our Image Annotation Software directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/v7-darwin/"><img src="https://www.itechguides.com/best/badge/v7-darwin.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update