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FastSAM is a segmentation model trained on 2% of the SA-1B dataset used to train the Segment Anything Model.

Read the full Autodistill documentation.

Read the FastSAM Autodistill documentation.


To use FastSAM with autodistill, you need to install the following dependency:

pip3 install autodistill-fastsam


from autodistill_fastsam import FastSAM

# define an ontology to map class names to our FastSAM prompt
# the ontology dictionary has the format {caption: class}
# where caption is the prompt sent to the base model, and class is the label that will
# be saved for that caption in the generated annotations
# then, load the model
base_model = FastSAM(
            "person": "person",
            "a forklift": "forklift"
base_model.label("./context_images", extension=".jpeg")