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AuraML - Synthetic Data Generation
Learn how to convert real-world environments into 3D simulations using a cloud platform to generate synthetic vision datasets, addressing data scarcity for AI models.
For all the Generative AI companies out there, right now the biggest bottleneck is data collection and labelling.
Once the Generative AI model has reached it saturation point where there is no other knob left to turn and improve the performance, the dataset is the only way to make it better.
At AuraML, we are working on converting the our real world into a simulation which can be used to generate as much synthetic data as possible for any Generative AI model out there.
We have a cloud platform live using which you can configure your 3D worlds in real-time and generate synthetic datasets to train your vision-based models.
AuraML: Generative simulations train adaptive robots for real-world deployment.
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