The image dataset is a crossroad between human vision and machine vision. Human developed the dataset for machines to understand the world through human vision, creating a prosthetic eye that provides inexhaustible labor to serve. But does that mean machines will see the world as we do?

An investigation into the new regime of representation constructed by machine vision. Gravitated towards the blackbox of deep learning and its appetite for data, I discussed about the automation paradox in our visual culture.

110 selected training images from sixteen food dish classes in the ImageNet-1k database. Labels with scores are interpreted by Google Cloud Vision. Sixteen neural network output images corresponding to each class are generated by the ResNet50V2 model.

Special thanks to Yiming Yan for coding support.