Data Object Classification Using an Optimized Neural Network

A system comprising:

• a hardware processor;
• and
• a system memory storing a software code;
• the hardware processor configured to execute the software code to:
• obtain a plurality of real images;
• composite the plurality of real images to form a montage of the plurality of real images;
• identify a plurality of labels for association with the montage;
• and
• label the montage using one or more of the plurality of identified labels to generate the plurality of images in a training dataset, wherein noise is parametrically introduced into the training dataset, resulting in a subset of the plurality of images being purposely mislabeled.

A computer-implemented method comprising:

• obtaining a plurality of real images;
• compositing the plurality of real images to form a montage of the plurality of real images;
• identifying a plurality of labels for association with the montage;
• and
• labeling the montage using one or more of the plurality of identified labels to generate the plurality of images in a training dataset, wherein noise is parametrically introduced into the training dataset, resulting in a subset of the plurality of images being purposely mislabeled.