Object detection, instance segmentation, keypoints, classification
Object detection, instance segmentation, keypoints, classification
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 platforms are free to use, support team collaboration, and offer role-based access control.
CVAT, created by Intel, 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. While Label Studio offers a more polished interface with built-in support for SSO and role-based access control, plus a broader scope beyond vision - handling text, audio, and time-series data.
There are a few key differences to consider:
Label Studio’s enterprise features like SSO make it better suited for larger teams, 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.