FiftyOne vs Labelbox

FiftyOne8.6Visit Labelbox8.3Visit

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

vs

Labelbox #8 in Image Annotation Software 8.3/10 Free plan Free plan✓ 3 of 3 features Visit Labelbox

• FiftyOne fits best

  ML teams combining annotation and model evaluation

• Labelbox fits best

  Teams prioritizing quality control and data curation

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Side by side

Feature	FiftyOne 8.6/10 Visit ↗	Labelbox 8.3/10 Visit ↗
At a glance
Editor score	8.6	8.3
Ranking	#5 in Image Annotation Software	#8 in Image Annotation Software
Best for	ML teams combining annotation and model evaluation	Teams prioritizing quality control and data curation
Pricing model	Free	Free plan + paid
Starting price	Free	Free plan
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web, Windows, macOS, Linux	Web
Support	Email, Community, Docs	Docs
Compliance	ISO 27001, SSO/SAML	SOC 2, GDPR, HIPAA
Integrations	20 integrations	5 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features FiftyOne 3/3 · Labelbox 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	bounding boxes, segmentation masks, image classification, radio classification
Image formats	JPEG; PNG; BMP	JPEG
Dataset export	COCO; image directory; image classification directory tree; FiftyOne dataset; Python/CLI export	JSON, NDJSON, CSV, BigQuery, Databricks
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	Model-assisted pre-labeling supports faster image annotation workflows. Quality controls include benchmarks, consensus, review, and monitoring. Connects with AWS S3, Google Cloud Storage, Azure Blob Storage, BigQuery, and Databricks.
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	The verified image scope is narrower than some broader annotation platforms. Category specifications list JPEG as the supported image format. Paid plans span Starter, Standard, and Enterprise, requiring tier selection.
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 →	Labelbox is a cloud platform for creating and managing training data for AI systems. It is designed for machine-learning teams, AI labs, and enterprises building computer-vision, language, multimodal, and generative-AI systems. For image… 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

• Labelbox — where it wins

  • Model-assisted pre-labeling supports faster image annotation workflows.
  • Quality controls include benchmarks, consensus, review, and monitoring.
  • Connects with AWS S3, Google Cloud Storage, Azure Blob Storage, BigQuery, and Databricks.

  Where it doesn't

  • The verified image scope is narrower than some broader annotation platforms.
  • Category specifications list JPEG as the supported image format.
  • Paid plans span Starter, Standard, and Enterprise, requiring tier selection.

• FiftyOne8.6/10 · Open source

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

  Visit FiftyOneFull verdict →
• Labelbox8.3/10 · Free plan

  A quality-focused image annotation platform with curation, model assistance, and cloud integrations.

  Visit LabelboxFull verdict →