Getting started with 3D content for synthetic data

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The game and film industries have provided us with a wealth of dynamic 3D content, letting you quickly bootstrap our synthetic data projects and start iterating on the data. With the Unity Perception package, you can import those assets, set them up for randomization, and generate highly varied datasets very quickly.

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Unlocking intelligent solutions in the home with computer vision

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Designing computer vision solutions for home interior applications is complex, as gathering diverse and accurate data can be expensive, time consuming, and riddled with privacy concerns. Read on to find out how Unity’s synthetic dataset generation tools and services enable the development of more capable computer vision applications for the home while mitigating roadblocks and challenges.

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Made with Unity: Creating and training a robot digital twin

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Our Made with Unity: AI series showcases Unity projects made by creators for a range of purposes that involve our artificial intelligence products. In this example, we feature a recent submission to the OpenCV Spatial AI competition that showcases robotics, computer vision, reinforcement learning, and augmented reality in Unity in an impressive suite of examples.

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Unity AI 2021 interns: Accelerating learning with the ML-Agents Toolkit

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The ML-Agents Toolkit allows researchers and game developers to build and train agents in Unity environments using Reinforcement Learning (RL). RL is useful when it is easier to specify what task an agent needs to complete rather than how to do it. An agent learns to select actions to complete a task on its own using observations from its environment and a task reward signal. Here’s how our interns improved our RL and ML-agents this summer.

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