Label Studio vs FiftyOne

Label Studio8.8Visit FiftyOne8.6Visit

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

vs

FiftyOne #5 in Image Annotation Software 8.6/10 Open source ✓ 3 of 3 features Visit FiftyOne

• Label Studio fits best

  Teams wanting flexible open-source annotation

• FiftyOne fits best

  ML teams combining annotation and model evaluation

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Side by side

Feature	Label Studio 8.8/10 Visit ↗	FiftyOne 8.6/10 Visit ↗
At a glance
Editor score	8.8	8.6
Ranking	#3 in Image Annotation Software	#5 in Image Annotation Software
Best for	Teams wanting flexible open-source annotation	ML teams combining annotation and model evaluation
Pricing model	Free plan + paid	Free
Starting price	—	Free
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux	Web, Windows, macOS, Linux
Support	Community, Docs, Tickets	Email, Community, Docs
Compliance	SOC 2, HIPAA, SSO/SAML	ISO 27001, SSO/SAML
Integrations	4 integrations	20 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Label Studio 3/3 · FiftyOne 3/3
Model-assisted labeling	✓	✓
Team collaboration	✓	✓
API access	✓	✓
Specs
Annotation types	rectangles, ellipses, keypoints, polygons, brush masks, image classification	bounding boxes; polygons; segmentation masks; classifications; polylines; SAM2 click-to-segment instance segmentation
Image formats	Not checked yet	JPEG; PNG; BMP
Dataset export	JSON, JSON_MIN, CSV, TSV, COCO, Pascal VOC XML, YOLO, PNG, NumPy	COCO; image directory; image classification directory tree; FiftyOne dataset; Python/CLI export
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 boxes, polygons, masks, classifications, polylines, and SAM2 annotation Combines annotation, review workflows, dataset curation, and model evaluation Offers APIs, self-hosting, exports, and integrations across data systems
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	Enterprise capabilities are organized around contact-sales plans The broad feature set may exceed the needs of simple annotation projects Governed collaborative deployments require the Enterprise offering
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 →	FiftyOne is an image and multimodal data platform from Voxel51 for computer-vision and machine-learning teams. It combines annotation, dataset curation, model evaluation, review workflows, and dataset export in one environment. Annotation… 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

• FiftyOne — where it wins

  • Supports boxes, polygons, masks, classifications, polylines, and SAM2 annotation
  • Combines annotation, review workflows, dataset curation, and model evaluation
  • Offers APIs, self-hosting, exports, and integrations across data systems

  Where it doesn't

  • Enterprise capabilities are organized around contact-sales plans
  • The broad feature set may exceed the needs of simple annotation projects
  • Governed collaborative deployments require the Enterprise offering

• Label Studio8.8/10 · Free plan

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

  Visit Label StudioFull verdict →
• FiftyOne8.6/10 · Open source

  A broad open-source platform for annotation, dataset curation, and model evaluation.

  Visit FiftyOneFull verdict →