Natural augmentation of image training datasets

A computer readable medium that stores a set of instructions which when executed perform a method for training a machine learning device, the method comprising:

• ascertaining geographic location information of at least one portion of a first image associated with a label;
• associating with the label a second image including at least a portion having substantially the same geographic location information as the at least one portion of the first image;
• forming a training dataset comprising the first and second images as input images and the label that the first and second images are associated with as outputs;
• and
• training the machine learning device using the dataset.

A system for augmenting a label comprising:

• a non-transitory memory storage;
• and
• a processing unit coupled to the non-transitory memory storage, wherein the processing unit is operative to execute a set of instructions read from the non-transitory memory storage to:
• ascertain geographic location information of at least one portion of a first image associated with a label;
• associate with the label a second image including at least a portion having substantially the same geographic location information as the at least one portion of the first image;
• form a training dataset comprising the first and second images as input images and the label that the first and second images are associated with as outputs;
• and
• train a machine learning device using the dataset.