Label Studio vs V7 Darwin

Label Studio8.8Visit V7 Darwin8.4Visit

Higher score Label Studio #3 in Image Annotation Software 8.8/10 Free plan Free plan✓ 3 of 3 features Visit Label Studio

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

• Label Studio fits best

  Teams wanting flexible open-source annotation

• V7 Darwin fits best

  Teams annotating medical and video imagery

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Side by side

Feature	Label Studio 8.8/10 Visit ↗	V7 Darwin 8.4/10 Visit ↗
At a glance
Editor score	8.8	8.4
Ranking	#3 in Image Annotation Software	#7 in Image Annotation Software
Best for	Teams wanting flexible open-source annotation	Teams annotating medical and video imagery
Pricing model	Free plan + paid	Free plan + paid
Starting price	—	—
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web, Windows, macOS, Linux	Web
Support	Community, Docs, Tickets	Community, Docs
Compliance	SOC 2, HIPAA, SSO/SAML	SOC 2, ISO 27001, GDPR, HIPAA
Integrations	4 integrations	5 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Label Studio 3/3 · V7 Darwin 3/3
Model-assisted labeling	✓	✓
Team collaboration	✓	✓
API access	✓	✓
Specs
Annotation types	rectangles, ellipses, keypoints, polygons, brush masks, image classification	Polygon; bounding box; tag; skeleton; keypoint; line; ellipse; mask; attributes; text; directional vector; instance ID
Image formats	Not checked yet	.jpg, .jpeg, .webp, .png, .bmp, .svs, .tif, .tiff, .qtiff, .dcm, .rvg, .nii, .nii.gz, .ndpi
Dataset export	JSON, JSON_MIN, CSV, TSV, COCO, Pascal VOC XML, YOLO, PNG, NumPy	Darwin JSON; Darwin XML; COCO; CVAT; YOLO; Semantic PNG; Instance PNG; Pascal VOC; NIfTI
Our review
Pros	Open-source Community Edition with configurable annotation interfaces Supports classification, detection, segmentation, and multiple shape tools Exports to JSON, CSV, COCO, Pascal VOC, YOLO, PNG, and NumPy	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	Advanced quality workflows and analytics are reserved for Enterprise The extensive configuration may require more setup than focused tools Support differs by plan, from community channels to Enterprise options	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	Label Studio is an open-source data labeling platform for machine-learning and AI teams. Its image capabilities cover classification, object detection, semantic segmentation, keypoints, rectangles, ellipses, polygons, and brush masks.… 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

• Label Studio — where it wins

  • Open-source Community Edition with configurable annotation interfaces
  • Supports classification, detection, segmentation, and multiple shape tools
  • Exports to JSON, CSV, COCO, Pascal VOC, YOLO, PNG, and NumPy

  Where it doesn't

  • Advanced quality workflows and analytics are reserved for Enterprise
  • The extensive configuration may require more setup than focused tools
  • Support differs by plan, from community channels to Enterprise options

• 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

• Label Studio8.8/10 · Free plan

  Flexible image annotation with open-source deployment, AI assistance, and broad exports.

  Visit Label StudioFull 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 →