FiftyOne vs Supervisely

FiftyOne8.6Visit Supervisely8.5Visit

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

vs

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

• FiftyOne fits best

  ML teams combining annotation and model evaluation

• Supervisely fits best

  Large teams needing managed AI labeling

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Side by side

Feature	FiftyOne 8.6/10 Visit ↗	Supervisely 8.5/10 Visit ↗
At a glance
Editor score	8.6	8.5
Ranking	#5 in Image Annotation Software	#6 in Image Annotation Software
Best for	ML teams combining annotation and model evaluation	Large teams needing managed AI labeling
Pricing model	Free	Free plan + paid
Starting price	Free	€199/mo
Free plan	Not checked yet	✓ (best)
Free trial	—	30 days
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux	Web
Support	Email, Community, Docs	Email, Community, Docs
Compliance	ISO 27001, SSO/SAML	GDPR, HIPAA, SSO/SAML
Integrations	20 integrations	9 integrations
Built for	Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features FiftyOne 3/3 · Supervisely 3/3
Model-assisted labeling	✓	✓
Team collaboration	✓	✓
API access	✓	✓
Specs
Annotation types	bounding boxes; polygons; segmentation masks; classifications; polylines; SAM2 click-to-segment instance segmentation	rectangle, line/polyline, polygon, multipolygon, point, bitmap mask, graph/keypoints, alpha mask, 2D cuboid
Image formats	JPEG; PNG; BMP	.jpg, .jpeg, .mpo, .bmp, .png, .webp, .tiff, .tif, .jfif, .avif, .heic, .heif
Dataset export	COCO; image directory; image classification directory tree; FiftyOne dataset; Python/CLI export	Supervisely Format, COCO, Pascal VOC, YOLOv8, DOTA, Cityscapes, Amazon S3, Google Cloud Storage, Microsoft Azure, S3-compatible storage
Our review
Pros	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	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
Cons	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	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
Our verdict	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 →	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 →

Strengths and trade-offs

• 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

• 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

• FiftyOne8.6/10 · Open source

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

  Visit FiftyOneFull verdict →
• 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 →