Supervisely vs V7 Darwin

Supervisely8.5Visit V7 Darwin8.4Visit

Higher score Supervisely #6 in Image Annotation Software 8.5/10 Free plan · 30-day trial Free planFree trial✓ 3 of 3 features Visit Supervisely

vs

V7 Darwin #7 in Image Annotation Software 8.4/10 Free plan · pricing on request Free plan✓ 3 of 3 features Visit V7 Darwin

• Supervisely fits best

  Large teams needing managed AI labeling

• V7 Darwin fits best

  Teams annotating medical and video imagery

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Side by side

Feature	Supervisely 8.5/10 Visit ↗	V7 Darwin 8.4/10 Visit ↗
At a glance
Editor score	8.5	8.4
Ranking	#6 in Image Annotation Software	#7 in Image Annotation Software
Best for	Large teams needing managed AI labeling	Teams annotating medical and video imagery
Pricing model	Free plan + paid	Free plan + paid
Starting price	€199/mo	—
Free plan	✓	✓
Free trial	30 days	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Email, Community, Docs	Community, Docs
Compliance	GDPR, HIPAA, SSO/SAML	SOC 2, ISO 27001, GDPR, HIPAA
Integrations	9 integrations	5 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Supervisely 3/3 · V7 Darwin 3/3
Model-assisted labeling	✓	✓
Team collaboration	✓	✓
API access	✓	✓
Specs
Annotation types	rectangle, line/polyline, polygon, multipolygon, point, bitmap mask, graph/keypoints, alpha mask, 2D cuboid	Polygon; bounding box; tag; skeleton; keypoint; line; ellipse; mask; attributes; text; directional vector; instance ID
Image formats	.jpg, .jpeg, .mpo, .bmp, .png, .webp, .tiff, .tif, .jfif, .avif, .heic, .heif	.jpg, .jpeg, .webp, .png, .bmp, .svs, .tif, .tiff, .qtiff, .dcm, .rvg, .nii, .nii.gz, .ndpi
Dataset export	Supervisely Format, COCO, Pascal VOC, YOLOv8, DOTA, Cityscapes, Amazon S3, Google Cloud Storage, Microsoft Azure, S3-compatible storage	Darwin JSON; Darwin XML; COCO; CVAT; YOLO; Semantic PNG; Instance PNG; Pascal VOC; NIfTI
Our review
Pros	AI-assisted labeling supports built-in and custom models Strong QA workflows with reviewers, queues and consensus labeling Cloud, API and self-hosted deployment options	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
Cons	Pro pricing starts at €199 per month Some capabilities and quotas vary by edition and add-ons Its broad feature set may exceed simple labeling needs	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	Supervisely is a computer vision platform for annotating images, videos, medical imagery and 3D data, with tools for dataset management, quality assurance, model training and deployment. It suits individuals, ML researchers, open-source… Read the review →	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 →

Strengths and trade-offs

• Supervisely — where it wins

  • AI-assisted labeling supports built-in and custom models
  • Strong QA workflows with reviewers, queues and consensus labeling
  • Cloud, API and self-hosted deployment options

  Where it doesn't

  • Pro pricing starts at €199 per month
  • Some capabilities and quotas vary by edition and add-ons
  • Its broad feature set may exceed simple labeling needs

• 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

• Supervisely8.5/10 · Free plan · 30-day trial

  A broad labeling and model-development platform with free access and paid team features.

  Visit SuperviselyFull verdict →
• 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 →