Image: Google We have seen several attempts at automated image assessment from both technical and aesthetic points of view in the past. For example, Google researchers have previously used convolutional neural networks (CNNs) to assess image quality of specific image categories, such as landscapes. However, these previous approaches could typically only differentiate between low and high image quality in a binary way. Now, a Google research team has developed a methodology that can provide a mor...
Image: Google We have seen several attempts at automated image assessment from both technical and aesthetic points of view in the past. For example, Google researchers have previously used convolutional neural networks (CNNs) to assess image quality of specific image categories, such as landscapes. However, these previous approaches could typically only differentiate between low and high image quality in a binary way. Now, a Google research team has developed a methodology that can provide a mor...
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