Object detection, instance segmentation, keypoints, classification
Object detection, instance segmentation, keypoints, classification
Support for SAM-2-powered label assistant in the annotation interface.
When comparing Label Studio to Roboflow Annotate, both support core vision tasks: object detection, instance segmentation, keypoints, and classification, but they differ in collaboration, tooling, and workflow features. Label Studio is a versatile, open-source tool with SSO support and role-based access control, making it a strong choice for teams working across vision, audio, text, or time-series data. While Roboflow Annotate offers the same task support plus: built-in dataset analytics, annotation history, semantic search, image augmentation, and AI-powered label assistants like SAM-2 for polygon suggestions. Unlike Label Studio, it also includes model training, deployment, and an interactive app builder, all within a single platform.
There are a few key differences to consider:
Label Studio is helpful for teams seeking a flexible, open-source annotation tool with broad data type support and customizability, while Roboflow Annotate is purpose-built for fast, automated, and end-to-end vision workflows - empowering even non-ML teams to go from data to deployed model with minimal friction.