CVAT vs. Label Studio
Learn how CVAT and Label Studio compare in terms of supported task types, enterprise features like SSO and RBAC, and more.
Tools
CVAT
CVAT is an open source computer vision labeling tool that also offers a managed annotation solution.
Label Studio
Label Studio is an open source image annotation tool with support for detection, segmentation, and more.
| Feature | CVAT | Label Studio |
|---|---|---|
| Supported Vision Task Types | Object detection, instance segmentation, keypoints, classification | Object detection, instance segmentation, keypoints, classification |
| Offers SSO? | Yes | Yes |
| Offers Role-Based Access Control (RBAC)? | Yes | Yes |
| Dataset Analytics Support | Limited | Limited |
| Labeling History Support | No | Yes |
| Semantic Dataset Search | No | No |
| Image Augmentation Support | No | No |
| Offers Foundation Model Label Assistant? | Yes (SAM, SAM 2 and SAM 3 click-to-mask tools; SAM 2 video tracking) | Limited (SAM and SAM 2 through an ML backend you host yourself) |
| Model Training Offered? | No | No |
| Deployment Offered? | No | No |
| Offers an Interactive Vision Application Builder? | No | No |
| Website URL | View website | View website |
| How to buy | Online & Sales | Online & Sales |
| Tool pricing | View pricing | View pricing |
| Documentation | View documentation | View documentation |
Compare CVAT and Label Studio
When it comes to comparing CVAT and Label Studio, both are open-source annotation tools that deliver robust support for core vision tasks including object detection, instance segmentation, keypoints, and classification. Both have free, open-source editions, support team collaboration, and offer role-based access control (Label Studio on its paid plans).
CVAT, originally developed at Intel and now maintained by CVAT.ai, excels at frame-by-frame image and video labeling with features like interpolation between keyframes, shortcut-driven workflows, and a managed labeling option when you need scale. Label Studio offers a more polished interface and a broader scope beyond vision, handling text, audio, and time-series data, with SSO and role-based access control on its paid plans.
There are a few key differences to consider:
- Single Sign-On (SSO): Both offer SSO on their enterprise plans (SAML or LDAP for Label Studio; SAML, OIDC or LDAP for CVAT), but not in their free open-source editions.
- Analytics & History: Both provide only limited dataset analytics, and neither offers semantic dataset search. Label Studio’s paid plans show annotation history in the labeling interface; CVAT has no labeling history view.
- Augmentation & Foundation Models: Neither includes image augmentation. CVAT has Segment Anything tools built in for click-to-mask labeling (SAM 3 in CVAT Online and Enterprise), while Label Studio supports SAM and SAM 2 through an ML backend you host yourself.
- Model Training & Deployment: Training and deployment are not natively offered in either tool; they focus strictly on annotation workflows.
- Application Builder: Neither CVAT nor Label Studio provides an interactive vision application builder.
Label Studio suits teams labeling text, audio, and time-series data alongside images, while CVAT’s annotation speed and frame interpolation are ideal for video-centric workflows. Both integrate well with external platforms, such as Roboflow, for advanced model training, augmentation, and deployment, so you can build a seamless end-to-end vision pipeline as your project grows.