Aǂmachine learning-based approach to cross-application of computer vision and visual communication design for automatic labelling and classification

Key Points

• Automatic labeling achieved through machine learning techniques enables quicker classification processes.
• The study reports a significant increase in accuracy, with metrics showing improvement in labeling efficiency.
• Assessment using a machine learning-based approach combines computer vision and visual design principles.
• This highlights the potential for broader applications in design fields and automated workflows.