Dataloop
Dataloop is a web-based platform for annotating image datasets, with model-assisted labeling and collaboration for teams.
What Dataloop is
Dataloop is a web-based platform for annotating image datasets, with model-assisted labeling and collaboration for teams. Its annotation options include bounding boxes, polygons, key points, cuboids, polylines, semantic segmentation, classification, tagging, and hierarchical annotation. It accepts JPG, JPEG, PNG, and TIFF images, and datasets can be exported in Dataloop JSON, COCO, YOLO, or VOC formats. API access is available. Founded in 2017 and headquartered in Tel Aviv, Israel, Dataloop is sold on a paid basis, with pricing available on request. The listed platform is web, making it an option for users who want to work with image labeling through a browser and need a variety of annotation types and export formats.
Good
- Model-assisted labeling is available
- Supports nine listed annotation types
- Exports to Dataloop JSON, COCO, YOLO, and VOC
- Team collaboration and API access
Watch out
- Pricing is available on request
- Image inputs are limited to four listed formats
Who it suits
Dataloop suits teams building or labeling image datasets that need multiple annotation styles and export formats. Model-assisted labeling, collaboration, and API access are also listed capabilities.
Verdict
Dataloop offers a broad set of image annotation types, with model assistance, team collaboration, and several dataset export options. Check that its listed image formats and paid, quote-based pricing suit your requirements.
Plans and prices
From Dataloop's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Custom subscription | Priced on request | Pricing available by scheduling a demo |
The facts
Each one read from Dataloop's own pages, with the date it was checked.
What it does
- Access controls
- The platform lists role-based access control, single sign-on, two-factor authentication and activity logging among its security controls.checked 8 Oct 2026
- Data
- The platform supports unstructured data workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS and multimodal data.checked 8 Oct 2026
- Deployment
- Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement.checked 8 Oct 2026
- Encryption
- Dataloop says customer data is encrypted at rest and in transit using AES-256 and a minimum TLS v1.2 protocol.checked 8 Oct 2026
- Human feedback
- Dataloop supports human-in-the-loop workflows for RLHF and other human-centric tasks.checked 8 Oct 2026
- Integrations
- The developer guide lists cloud storage integrations for Google Cloud Platform, Amazon S3 and Microsoft Azure Blob, plus container registries including AWS ECR, Google Artifact Registry and Azure Container Registry.checked 8 Oct 2026
- Intended users
- The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers.checked 8 Oct 2026
- Marketplace
- The marketplace offers models, datasets, workflow templates and other reusable components.checked 8 Oct 2026
- Models
- Users can work with off-the-shelf or custom models, then version, experiment, compare and fine-tune them in the platform.checked 8 Oct 2026
- Pipelines
- Pipelines can orchestrate data, models and human feedback through a drag-and-drop interface or the Python SDK.checked 8 Oct 2026
- Pricing and limits
- Pricing is provided through a demo with a specialist, and subscriptions track usage such as annotation studio time, datapoints and serverless automation.checked 8 Oct 2026
- Product
- Dataloop describes itself as an enterprise-first AI development platform for building AI applications.checked 8 Oct 2026
- Security and compliance
- Dataloop states it is GDPR compliant, adheres to ISO 27001 and ISO 27701, and is SOC 2 Type II compliant.checked 8 Oct 2026
- Support
- The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel.checked 8 Oct 2026
The company
- Founded
- 2017checked 28 Sep 2026
- Headquarters
- Tel Aviv, Israelchecked 28 Sep 2026
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