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Ep. 133: Supercharging AI applications with SuperAnnotate | Tigran Petrosyan

FUTURATI PODCAST

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How MLOps Supports Data Augmentation

I would be interested in knowing how each one is actually processing the images as you go through with something like a convolutional neural network. You can look at how the convolutions are actually arriving at different abstractions in different layers. And then that's very fascinating work. We're more data focused, but there's so many platforms that are trying to handle other size that we're kind of tightly integrating. If customer wants to have all that system set together, this is what we provide also.

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