Amazon Launches Ground Truth Synthetics to Create Virtual Objects to Train AI Models

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Training AI models requires huge amounts of data. But sometimes this data is simply not available from real sources, so data scientists use synthetic data to compensate for this. In machine vision applications, this means the creation of various environments and objects, for example, for training robots or unmanned vehicles. But although there are quite a few tools for creating virtual environments, there are not so many tools for creating virtual objects.

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At its re:Mars conference, Amazon today announced Ground Truth Synthetics, a new tool for creating a virtually unlimited number of images of a given object in different positions and lighting, as well as different aspect ratios and other variations.

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With WorldForge, the company already offers a tool for creating synthetic scenes. “Iinstead of from generation the whole worlds per in robot to step near, it specific to Items or individual components,” Bill Vass, AWS Vice President of Engineering, told me about this. He noted that such a tool was needed by the company itself, because even with the millions of parcels that Amazon itself sends, it still did not have enough images to train the robot.

“AThat Ground Truth Synthetics does it’s you Start With in 3D model in a amount from another formats what you Can to pull it inth This will synthetically to generate photorealistic Pictures what conformity in resolution from in sensors you is,” he explained. And while some customers today deliberately damage or break the physical parts of the machine, for example, to take pictures of them to train their models – which can quickly become quite expensive – they can now damage the virtual parts instead and do it millions of times. if needed.

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He gave the example of a customer who cooks chicken nuggets. This client used a tool to simulate many deformed chicken nuggets to train his model.

Vass noted that Amazon is also partnering with 3D artists to help companies that may not have access to such in-house talent get started with the service, which uses Unreal Engine by default, though it also supports Unity and the open format. Open 3D Engine source code. Using these engines, users can also begin to simulate the physics of how these objects would behave in the real world.


Credit: techcrunch.com /

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