1. A computer-implemented method, comprising: training a set of neural network models using respective images for each of a set of object classifications; obtaining a respective representation for each trained neural network model, the respective representation being representative of a type of object associated with the object classification; receiving a request to add image data to an image file, the request including a specified object classification; obtaining the respective representation for the specified object classification; and causing the image data, corresponding to the respective representation, to be added in the image file to generate a visualization of the type of object to be represented in the image file.