Training a machine learning model with synthetic images

A non-transitory computer-readable medium, storing program instructions executable on one or more computer systems for performing a computer-implemented method for training a machine learning model, wherein the computer-implemented method comprises:

• displaying one or more images for a specimen and image editing tools to a user with a graphical user interface (GUI);
• receiving input from the user via the GUI, wherein the input comprises one or more alterations to at least one of the one or more images using one or more of the image editing tools;
• applying the one or more alterations to the at least one of the one or more images thereby generating at least one modified image;
• storing the at least one modified image in a training set, wherein said applying and said storing are performed by an image processing module;
• and
• training a machine learning model with the training set in which the at least one modified image is stored, wherein the machine learning model is configured for performing one or more functions for the specimen using images generated for the specimen by an imaging subsystem, wherein the GUI, the image processing module, and the machine learning model are included in one or more components executed by the one or more computer systems, and wherein the training is performed by the one or more computer systems.

A computer-implemented method for training a machine learning model, comprising:

• displaying one or more images for a specimen and image editing tools to a user with a graphical user interface (GUI);
• receiving input from the user via the GUI, wherein the input comprises one or more alterations to at least one of the one or more images using one or more of the image editing tools;
• applying the one or more alterations to the at least one of the one or more images thereby generating at least one modified image;
• storing the at least one modified image in a training set, wherein said applying and said storing are performed by an image processing module;
• and
• training a machine learning model with the training set in which the at least one modified image is stored, wherein the machine learning model is configured for performing one or more functions for the specimen using images generated for the specimen by an imaging subsystem, wherein the GUI, the image processing module, and the machine learning model are included in one or more components executed by one or more computer subsystems, and wherein the training is performed by the one or more computer subsystems.