System and method for procedurally synthesizing datasets of objects of interest for training machine-learning models
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United States of America Patent
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Jun 12, 2018
Issued Date -
Aug 17, 2017
app pub date -
Feb 15, 2016
filing date -
Feb 15, 2016
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Abstract
A system and method for procedurally synthesizing a training dataset for training a machine-learning model. In one embodiment, the system includes: (1) a training designer configured to describe variations in content of training images to be included in the training dataset and (2) an image definer coupled to the training designer, configured to generate training image definitions in accordance with the variations and transmit the training image definitions: to a 3D graphics engine for rendering into corresponding training images, and further to a ground truth generator for generating associated ground truth corresponding to the training images, the training images and the associated ground truth comprising the training dataset.
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