AI Labeling
Use AI tools to speed up your labeling process.
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Use AI tools to speed up your labeling process.
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Roboflow Annotate offers five AI-powered labeling features to help speed up your Workflow:
: Use a model you have already trained to auto-label images in your dataset.
: Use the Segment Anything Model in your browser to annotate polygon masks with a single click.
: Draw examples of an object in an image, then let Box Prompting find all other instances of that object in the image.
: Use a foundation model like Grounding DINO to auto-label all images in your dataset with a single or multiple prompts.
: An older version of the Enhanced Smart Polygon feature.
We recommend each solution in the following cases:
Label Assist: Ideal for labeling data once you already have a trained model.
Enhanced Smart Polygon with SAM: Ideal for labeling the first version of your dataset, adding new annotations that Label Assist missed, or adding annotations for new classes to a dataset.
Box Prompting: Ideal if you have lots of similar objects to label in an image (i.e. if you are labeling individual screws on a tray with dozens of the same screw).
Auto Label: Ideal if you need to label common objects (i.e. a vehicle) in bulk.
Smart Polygon (Legacy): For most use cases, we recommend using Enhanced Smart Polygon with SAM instead.
You can find out more about each option on their respective documentation pages.