Computer scientists as rogue art historians
Practical AI
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Machine Learning Meets Art: Challenges in Image Classification
This chapter explores the limitations of machine learning, particularly in machine vision, when it comes to analyzing images and understanding context, especially in art. It illustrates challenges like the tank classifier problem and the pitfalls of misclassifying images, emphasizing that successful identification does not guarantee true comprehension. The discussion advocates for a collaboration between data science and art history, highlighting the need for blending quantitative analysis with the qualitative nuances inherent in artistic interpretation.
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