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What is Aesthetic Image Classification Challenges about?

This document discusses challenges in automatically classifying photos based on aesthetic quality. It reviews existing datasets used for evaluating aesthetic classification methods, commonly used image features for classification, and previous works on aesthetic classification using machine learning algorithms like random forests, AdaBoost and SVMs. The document argues that existing approaches have methodology gaps and outlines potential future work directions to improve aesthetic classification quality.

Author

Nizarudin Art

Language

EN