A is incorrect: A Category Classification model assigns an entire image to a single predefined category (e.g., 'Pass' or 'Fail') but cannot identify individual components, count defects, or provide bounding box locations.
B is correct: The primary application for the AI Builder Object Detection model involves analyzing visual data to pinpoint predefined elements, precisely locate them through bounding boxes, and tally their exact quantities. Users train this model by providing images and delineating regions around the particular components (or their absence) that require recognition.
C is incorrect: An Image Description model generates a general textual summary of an image, which lacks the specificity necessary for rigorous quality control metrics like defect counting or identifying specific missing parts.
D is incorrect: A custom prompt in AI Hub using a GPT text model is designed for text generation or analysis, not for visual object detection or counting within images.