METHOD AND SYSTEM FOR GENERATING ANNOTATED TRAINING DATA
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United States of America Patent
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Oct 14, 2021
app pub date -
Aug 19, 2019
filing date -
Aug 20, 2018
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Abstract
A method of generating an annotated synthetic training data for training a machine learning module for processing an operational data set includes creating a first procedural model for the object, the first procedural model having a first set of parameters relating to the object; creating a second procedural model for the background, the second procedural model having a second set of parameters relating to the background; creating the task environment model pertaining to the machine learning task using the first and the second procedural models; creating a synthetic data set using the task environment model; and allocating at least one parameter of the first set of parameters as an annotation for the simulation data to generate the annotated synthetic training data.
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