Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach

<div>Characterisation of all 44,047 images initially obtained from DPChallenge. (a) Descriptive data, (b) arrangement of the number of votes within the range of valid ratings, and (c) distribution of mean image evaluations within the range of valid ratings.</div>

Complexity

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Figure 1

Figure 1: Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach 