Research on the Classification and Recognition of Lacquer Painting Art Styles Based on Machine Learning Algorithms

A lacquer painting is a transparent coating that, if dry, creates a firm, long-lasting finish. The design is intended to be chip-resistant, waterproof, and breathable. Lacquers can be painted on a variety of materials, like wood and metal, and can occur in a range of hues and clear finishes. Lacquer painting is a challenge that encompasses ethnic, social, and temporal concerns, as well as unique theoretical and practical difficulties. Using lacquer painting creation with realistic themes as an essay, people can investigate the main issues associated with lacquer painting creation with realistic themes in the context of contemporary time. The importance of emotional cognitive expression in lacquer painting is acquired, and the requirement of social computing in the disciplines of machine learning (ML) and decision control. Implementation of the lacquer painting-designed better style transfer algorithm (TA) has paved the way for the creation of artistic and cultural ceramic goods. Hence machine learning-transfer algorithm (ML-TA) has been designed to lacquer paint regardless of the exquisite sheen that produces. Finishes can be matte, satin, and glossy depending on the number of layers and method utilized, however, they can always have a smooth surface texture. Lacquer painting can either exhibit a clean translucent appearance or be tinted to seem colored. Lacquer painting is comparable to varnish and urethane finishes, however is applies uniquely. Lacquers are often sprinkled on the surface rather than brushed on and manually rubbed with a material.