CLIP

CLIP, developed by OpenAI, is a computer vision model trained using pairs of images and text. You can use CLIP with autodistill for image classification.

This project is licensed under an MIT license.

Installation

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

pip3 install autodistill-clip

Quickstart

from autodistill_clip import CLIP
from autodistill.detection import CaptionOntology

# define an ontology to map class names to our GroundingDINO 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 = CLIP(
    ontology=CaptionOntology(
        {
            "person": "person",
            "a forklift": "forklift"
        }
    )
)
base_model.label("./context_images", extension=".jpeg")