Artistic Style Classification

Art style classification is a subtask in the field of computer vision, aiming to automatically identify and categorize the styles of artworks through image analysis techniques. The goal is to use deep learning and image processing algorithms to extract stylistic features from paintings, sculptures, and other art pieces, and match them with known artistic movements. Art style classification not only aids in art history research and cultural heritage preservation but also plays a significant role in the digital art market, online galleries, and museum management, enhancing user experience and operational efficiency.