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Robotics-Object-Pose-Estimation Open source

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural

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A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Open-source data tool (Apache-2.0 license, 346★). Source: GitHub (Unity-Technologies/Robotics-Object-Pose-Estimation).

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Backblaze B2 Genblaze Hackathon with $10K in prizes