CPC G06N 3/08 (2013.01) [G06F 18/2155 (2023.01); G06F 18/24 (2023.01); G06N 3/048 (2023.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/7753 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01)] | 20 Claims |
1. 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;
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;
determine, using a neural network (NN), a classification of the plurality of images in the training dataset; and
configure the NN based on a performance of the NN in determining the classification.
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