Image description generation with varying levels of detail

A method of training a machine learning model, comprising:

• obtaining a training data set including a region of an image, a detail level, and a ground truth classification of the region;
• classifying the region of the image based on the detail level using a classifier of the machine learning model to obtain a region classification;
• and
• training the classifier to classify image regions based on the region classification and the ground truth classification.

An apparatus comprising:

• one or more processors;
• one or more memories including instructions executable by the one or more processors;
• and
• a machine learning model including parameters stored in the one or more memories, wherein the machine learning model is trained to identify a set of regions for an image based on a detail level and to generate a description for the image based on the set of regions.