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Thanks for the info. One more question if you have the time: to what degree are you limited by data, vs. other factors? If you could have 10x the training data, would that 10x your performance, or are other factors in the way (eg. compute, neural net architecture, etc.)?

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We design our algorithms to not be necessarily reliant on more data for better performance. We recognize that fleet size and large-scale data collection just isn't going to be a key strength for Voyage, so we design our algorithms accordingly. For example, our classification stack required only 9,000 point cloud frames to achieve pretty amazing performance.

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