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Roboflow Auto Label

Automatically label image data

Label 1,000 images in under ten minutes. Auto Label uses state-of-the-art foundation models like Grounding DINO to help you label your image data. Over 2,000,000 images have been automatically labeled using Roboflow to date.

Setting an Auto Label ontology in natural language

Reduce labeling time by 50% or more

In four steps, you can label thousands of images in hours, rather than days or weeks.

  • 01

    Set an ontology

    Describe what you want to label in your images in natural language. Set as many labels as you want.

  • 02

    Evaluate your prompts

    Visually inspect labels on a subset of your dataset. You can adjust confidence thresholds and class names to find a combination that works for your data.

  • 03

    Label your dataset

    Once you have a configuration that works, you can label your data in the cloud.

  • 04

    Review annotations

    Use Roboflow Annotate to review, remove, or adjust annotations from Auto Label, or work with Roboflow Labeling to outsource annotation review.

Review annotations with speed and accuracy

Use Roboflow Annotate to quickly review and modify annotations.

  • Fast labeling workflows like keyboard shortcuts, intelligent defaults, and integrated label creation to annotate hundreds of images in minutes.
  • Collaborate on annotation reviews with your team, allowing you to modify and approve annotations faster.
  • Use model-assisted labeling powered by Segment Anything to add missing annotations with a single click.
Reviewing annotations in Roboflow Annotate
Start where you are

Speak with an AI expert

Our team will help you start solving business problems on the first call.

  • Solution architecting
  • Live demonstration
  • Pricing and specifications
  • Feasibility assessment

Over 16,000 organizations build with Roboflow.

Rivian
Pella
Chobani
USG Corporation
BNSF Railway
American Woodmark
Outcomes
Patrick Industries
Peer Robotics