A computer vision pipeline refers to the end-to-end process of converting raw images into meaningful predictions. Typically, it involves a series of sequential steps: image collection, annotation, data inspection and quality assurance, transformation, preprocessing and augmentation, model training, evaluation, deployment, and inference (with the cycle often repeated to refine predictions).
