Artificial intelligence generated synthetic image data for use with machine language models

A system to complete a data image analysis task, which comprises:

• a computer system comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:
• receive, from a model source, a machine learning (ML) model trained for use with image data content characterized by a first format;
• receive, from a data source, an evaluation image dataset having evaluation image data content characterized by a second format;
• receive, from a task source, a request to complete an image data analysis task for the evaluation image dataset using said ML model;
• compare, by said computer, said first format to said second format and determining said formats are characterized by differences that fall below a similarity threshold, whereby said evaluation image dataset is incompatible with said ML model;
• receive a generative model from a model source, said generative model being trained to convert image data from said second format into a format compatible with said ML model;
• use the generative model to generate a synthetic image dataset having synthetic image data content equivalent to the content of said evaluation image data content and which is characterized by said format compatible with said ML model;
• apply the ML model to the synthetic image dataset content to provide an answer for the data image analysis task;
• and
• deliver the answer to a user interface.

A computer program product to complete a task, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

• receive, using the computer, from a model source, a machine learning (ML) model trained for use with image data content characterized by a first format;
• receive, using the computer, from a data source, an evaluation image dataset having evaluation image data content characterized by a second format;
• receive, using the computer, from a task source, a request to complete an image data analysis task for the evaluation image dataset using said ML model;
• compare, using the computer, by said computer, said first format to said second format and determining said formats are characterized by differences that fall below a similarity threshold, whereby said evaluation image dataset is incompatible with said ML model;
• receive, using the computer, a generative model from a model source, said generative model being trained to convert image data from said second format into a format compatible with said ML model;
• use, by the computer, the generative model to generate a synthetic image dataset having synthetic image data content equivalent to the content of said evaluation image data content and which is characterized by said format compatible with said ML model;
• apply, using the computer, the ML model to the synthetic image dataset content to provide an answer for the data image analysis task;
• and
• deliver, using the computer, the answer to a user interface.