Research on Implementation Pathways for Computer Vision Technology in Dual-Track Teaching Reform of Innovation and Entrepreneurship Education for Vocational Higher Education Art Programs Driven by Artificial Intelligence

This study integrates computer vision into the dual-track teaching reform of higher vocational art programs within the innovation and entrepreneurship framework. A reproducible analytical pipeline was developed using convolutional feature extraction, supervised classification, and ordinal regression, refined through enterprise calibration and domain-adaptive fine-tuning.