Good point. I guess it is a fair assumption that the neural network is trained using a corpus of logos that already look "well made" to the human eye. It is p

Good point. I guess it is a fair assumption that the neural network is trained using a corpus of logos that already look "well made" to the human eye. It is possible there may not have been any/many samples that would be considered bad. It would be interesting to see how this neural net evaluates a bad logo, using a tool such as LIME.