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V7 snaps up $33M to automate training data for computer vision AI models

TechCrunch

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. Image Credits: V7 labs.

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