Sketch analysis for generative design via machine learning models

One or more non-transitory computer-readable media including instructions that, when executed by one or more processors, cause the one or more processors to perform an analysis of a sketch to identify one or more objects for a generative design by performing the steps of:

• receiving the sketch via a user interference;
• executing a first trained machine learning (ML) model that generates an identification of a first object included in the sketch based on one or more contextual features that are associated with the first object and also are included in the sketch;
• transmitting the identification to a second machine learning model;
• and
• executing a second trained ML model that generates a first design object based on the identification.

A system comprising:

• one or more memories storing instructions;
• and
• one or more processors coupled to the one or more memories that, when executing the instructions to perform an analysis of a sketch to identify one or more objects for a generative design, perform the steps of:
• receiving the sketch via a user interference;
• executing a first trained machine learning (ML) model that generates an identification of a first object included in the sketch based on one or more contextual features that are associated with the first object and also are included in the sketch;
• transmitting the identification to a second machine learning model;
• and
• executing a second trained ML model that generates a first design object based on the identification.