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SYSTEM AND METHOD OF OPERATION FOR REMOTELY OPERATED VEHICLES LEVERAGING SYNTHETIC DATA TO TRAIN MACHINE LEARNING MODELS

机译:用于远程操作车辆的操作方法和操作方法,利用合成数据来训练机器学习模型

摘要

The present invention provides systems and methods for leveraging synthetic data to train machine learning models. A synthetic training engine may be used to train machine learning models. The synthetic training engine can automatically annotate real images for valuable tasks, such as object segmentation, depth map estimation, and classifying whether a structure is in an image. The synthetic training engine can also train the machine learning model with synthetic images in such a way that the machine learning model will work on real images. The output of the machine learning model may perform valuable tasks, such as the detection of integrity threats in underwater structures.
机译:本发明提供了用于利用合成数据以训练机器学习模型的系统和方法。合成训练引擎可用于训练机器学习模型。合成训练引擎可以自动注释真实的图像,以获得有价值的任务,例如对象分割,深度图估计,以及对图像中是否处于图像中。合成训练引擎还可以用合成图像训练机器学习模型,使机器学习模型将在真实图像上工作。机器学习模型的输出可以执行有价值的任务,例如在水下结构中检测完整性威胁。

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