# AI Labeling {% hint style="info" %} AI Labeling features use credits at the rates listed on our [credits page](https://roboflow.com/credits). {% endhint %} Roboflow offers four AI-powered labeling features to help speed up your Workflow: * [Label Assist](https://docs.roboflow.com/annotate/ai-labeling/model-assisted-labeling): Use a model you have already trained to auto-label images in your dataset. * [Smart Polygon](https://docs.roboflow.com/annotate/ai-labeling/enhanced-smart-polygon-with-sam): Use the Segment Anything Model in your browser to annotate polygon masks with a single click. * [Box Prompting](https://docs.roboflow.com/annotate/ai-labeling/box-prompting-ai-labeling): Draw examples of an object in an image, then let Box Prompting find all other instances of that object in the image. * [Auto Label](https://docs.roboflow.com/annotate/ai-labeling/automated-annotation-with-autodistill): Use a foundation model like Grounding DINO to auto-label all images in your dataset with a single or multiple prompts. 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. You can find out more about each option on their respective documentation pages. ### Supported AI Labeling Tools by Project Type

### Supported Model Types for Use In Label Assist