LabelMe vs. Roboflow Annotate
Learn how LabelMe and Roboflow Annotate compare in terms of supported task types, enterprise features like SSO and RBAC, and more.
Tools
LabelMe
LabelMe is an open source image annotation app for your desktop, inspired by MIT CSAIL's original LabelMe.
Roboflow Annotate
Roboflow Annotate allows you to label data for object detection, segmentation, classification, and keypoint detection. Roboflow Annotate is equipped with AI-assisted tools to help you label data.
Learn more about Roboflow Annotate
| Feature | LabelMe | Roboflow Annotate |
|---|---|---|
| Supported Vision Task Types | Object detection, instance and semantic segmentation, keypoints, classification; video annotation | Object detection, instance segmentation, keypoints, classification |
| Offers SSO? | No | Yes |
| Offers Role-Based Access Control (RBAC)? | No | Yes |
| Dataset Analytics Support | Limited (label statistics in the paid dataset toolkit) | Yes |
| Labeling History Support | No | Yes |
| Semantic Dataset Search | No | Yes |
| Image Augmentation Support | No | Yes |
| Offers Foundation Model Label Assistant? | Yes (SAM, SAM 2 and SAM 3 click-to-mask and text-prompt labeling, run locally) | Yes (SAM 3 Smart Select, Box Prompting, and Auto Label with foundation models) |
| Model Training Offered? | No | Yes |
| Deployment Offered? | No | Yes |
| Offers an Interactive Vision Application Builder? | No | Yes |
| Website URL | View website | View website |
| How to buy | Free open-source version, or buy the app online | Online & Sales |
| Tool pricing | View pricing | View pricing |
| Documentation | View documentation | View documentation |
Compare LabelMe and Roboflow Annotate
When comparing LabelMe to Roboflow Annotate, both tools support essential vision tasks such as object detection, instance segmentation, polygons, and classification. But they differ drastically in ease, collaboration, and workflow depth. LabelMe, inspired by MIT CSAIL’s original LabelMe, is a desktop app (a free Python package, or a paid installer) that’s great for quick, solo annotation projects. It supports polygons, rectangles, circles, lines, and points, with SAM-based AI assistance that runs on your computer, but doesn’t include authentication, team management, or workspace controls. Roboflow Annotate, on the other hand, is a full-featured SaaS platform that brings annotation and beyond, offering dataset analytics, annotation history, semantic search, image augmentation, and AI-powered label assistants like SAM 3.
Here are the key differences:
- Collaboration & Security: Roboflow supports teams with user roles and workspace permissions, while LabelMe is limited to single-user projects.
- Automation & Productivity: Roboflow’s AI tools and augmentations dramatically speed up labeling and dataset iteration; LabelMe has SAM-based assistance for masks that runs locally, but no augmentation.
- Workflow Integration: Roboflow delivers a complete pipeline: annotation, versioning, training, deployment, and application building. LabelMe focuses purely on label creation and requires external tools for the rest.
LabelMe is ideal for lightweight, academic, or one-off annotation needs. Roboflow Annotate is built for teams and production workflows: automating annotation, accelerating dataset workflows, and powering vision models end to end.