FiftyOne
FiftyOne Annotation for images helps teams identify samples for labeling, automate annotation with AI, and connect labeling work with model evaluation.
What FiftyOne is
FiftyOne Annotation for images helps teams identify samples for labeling, automate annotation with AI, and connect labeling work with model evaluation. It supports bounding boxes, polygons, segmentation masks, classifications, polylines, and SAM2 click-to-segment instance segmentation. Users can prompt a labeling agent in natural language to create pre-labels, then combine those with human review. Workflows can include multiple stages, review, rejection loops, and quality gates. The platform integrates with annotation tools such as CVAT, Label Studio, V7, and Labelbox, as well as vector search options including Qdrant, Redis, and Pinecone. Deployment choices include cloud, hybrid, on-premise, air-gapped, and managed services. FiftyOne says datasets remain in the customer's environment rather than being stored or transmitted by the platform, and supports anonymizing sensitive information. It is open source and available across API, Linux, macOS, self-hosted, web, and Windows.
Good
- Supports six image annotation types, including SAM2 segmentation.
- Natural-language labeling agent can generate pre-labels.
- Workflows include review stages, rejection loops, and quality gates.
- Offers cloud, hybrid, on-premise, and air-gapped deployment.
- Supports data anonymization for sensitive information.
Watch out
- Plan pricing is available only by contacting sales.
- Some listed plans limit seats, VPUs, compute, and deployments.
Who it suits
It suits AI builders and machine-learning teams working with multimodal data at scale, especially those needing image annotation workflows and model evaluation connections. Its range of deployment options may fit teams with different infrastructure requirements.
Verdict
FiftyOne combines AI-assisted image labeling with review workflows and connections to model evaluation. Its deployment choices and data-handling controls are relevant for teams with specific infrastructure or sensitive-data needs.
Plans and prices
From FiftyOne's own pricing page, checked 5 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Custom | Priced on request | Unlimited user seats · Unlimited guest seats · Unlimited VPUs · Unlimited production and dev/staging deployments · Dedicated customer success team · Professional services · Get custom pricing |
| Growth | Priced on request | 25 user seats · 100 guest seats · 20 VPUs · 14,000 hours/month compute · 3 production deployments · 3 dev/staging deployments · On-premise or air-gapped deployments · Premium enterprise support · Contact sales |
| Team | Priced on request | 8 user seats · 16 guest seats · 4 VPUs · 2,800 hours/month compute · 1 production deployment · 1 dev/staging deployment · Unlimited data · Unlimited model inference · Contact sales |
The facts
Each one read from FiftyOne's own pages, with the date it was checked.
What it does
- Agentic labeling
- Users can prompt a labeling agent in natural language to generate pre-labels and combine them with human review.checked 5 Oct 2026
- Annotation types
- Image annotation supports bounding boxes, polygons, segmentation masks, classifications, polylines, and SAM2 click-to-segment instance segmentation.checked 5 Oct 2026
- Data handling
- The security page states that FiftyOne does not store or transmit datasets and that data remains in the customer's environment.checked 5 Oct 2026
- Deployment
- FiftyOne deployment options include cloud or multi-cloud, hybrid, on-premise, air-gapped, and managed services.checked 5 Oct 2026
- Image workflows
- The image annotation platform supports multi-stage workflows with review stages, rejection loops, and quality gates.checked 5 Oct 2026
- Integrations
- The official integrations documentation lists annotation integrations including CVAT, Label Studio, V7, and Labelbox, and vector search integrations including Qdrant, Redis, and Pinecone.checked 5 Oct 2026
- Intended users
- Voxel51 describes FiftyOne as a platform for AI builders and machine-learning teams working with multimodal data at scale.checked 5 Oct 2026
- Purpose
- FiftyOne Annotation for images helps identify samples for labeling, automate annotation with AI, and connect labeling with model evaluation.checked 5 Oct 2026
- Security
- Voxel51 states that it maintains ISO 27001 certification and undergoes regular third-party penetration and vulnerability tests.checked 5 Oct 2026
- Sensitive data
- FiftyOne supports data anonymization to protect personally identifiable and protected health information.checked 5 Oct 2026
- Support
- The Team plan lists standard enterprise support, Growth lists premium enterprise support, and Custom lists a dedicated customer success team.checked 5 Oct 2026
The company
- Company founding
- Voxel51 says it was founded in 2018 at the University of Michigan by Professor Jason Corso and PhD student Brian Moore.checked 5 Oct 2026
- Founded
- 2018checked 28 Sep 2026
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