Head-to-head · Image Annotation Software
V7 Darwin vs Dataloop
V7 Darwin leads on 0 checks, Dataloop on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreV7 Darwin · 8.4/10
- Free planonly V7 Darwin
V7 Darwin scores higher on our rubric for image annotation software: 8.4 against 8.2 out of 10; our editors rank them #7 and #9.
V7 Darwin is the better fit for teams annotating medical and video imagery. Dataloop is the better fit for enterprise teams with multimodal datasets.
- V7 Darwin fits best
Teams annotating medical and video imagery
- Dataloop fits best
Enterprise teams with multimodal datasets
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Side by side
| Feature | V7 Darwin 8.4/10 Visit ↗ | Dataloop 8.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.4 | 8.2 |
| Ranking | #7 in Image Annotation Software | #9 in Image Annotation Software |
| Best for | Teams annotating medical and video imagery | Enterprise teams with multimodal datasets |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | Pricing on request |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Community, Docs | Email, Tickets, Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA | SOC 2, ISO 27001, GDPR, SSO/SAML, 2FA |
| Integrations | 5 integrations | 6 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features V7 Darwin 3/3 · Dataloop 3/3 | ||
| Model-assisted labeling | ✓ | ✓ |
| Team collaboration | ✓ | ✓ |
| API access | ✓ | ✓ |
| Specs | ||
| Annotation types | Polygon; bounding box; tag; skeleton; keypoint; line; ellipse; mask; attributes; text; directional vector; instance ID | bounding boxes, polygons, key points, cuboids, polylines, semantic segmentation, classification, tagging, hierarchical annotation |
| Image formats | .jpg, .jpeg, .webp, .png, .bmp, .svs, .tif, .tiff, .qtiff, .dcm, .rvg, .nii, .nii.gz, .ndpi | JPG, JPEG, PNG, TIFF |
| Dataset export | Darwin JSON; Darwin XML; COCO; CVAT; YOLO; Semantic PNG; Instance PNG; Pascal VOC; NIfTI | Dataloop JSON, COCO, YOLO, VOC |
| Our review | ||
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| Cons |
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| Our verdict | 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… Read the review → |
Dataloop is an enterprise-focused AI development platform for managing unstructured data, creating annotation workflows, integrating models, and orchestrating pipelines. It is designed for data engineers, data scientists, software… Read the review → |
Strengths and trade-offs
V7 Darwin — 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
Dataloop — where it wins
- Supports annotation across image, video, audio, text, PDF, LiDAR, and GIS
- Combines model-assisted labeling with active-learning workflows
- Offers SDKs, REST APIs, dataset management, and cloud integrations
Where it doesn't
- Pricing requires a direct conversation with Dataloop
- Its enterprise scope may exceed the needs of small annotation projects
- Workflow breadth can be more than teams focused only on image labeling need
- V7 Darwin8.4/10 · Free plan · pricing on request
A broad annotation platform for teams building computer-vision and medical-imaging datasets.
Visit V7 DarwinFull verdict → - Dataloop8.2/10 · Pricing on request
A broad, API-ready annotation platform for enterprise multimodal AI teams.
Visit DataloopFull verdict →
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All image annotation software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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