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Voxel51 raises $2 million for its video-native identification of people, cars and more

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Geekz Snow
Voxel51 raises $2 million for its video-native identification of people, cars and more

Many companies and municipalities are saddled with hundreds or thousands of hours of video and limited ways to turn it into usable data.

Annotating video is an important task for a lot of industries, the most well known of which is certainly autonomous driving.

It’s done in a variety of ways, from humans literally drawing boxes around objects every frame and writing what’s in it to more advanced approaches that automate much of the process, even running in real time.

Are people in a crowd going to the right or left, generally?

This kind of thing is difficult to infer from a single frame, but looking at just two or three in succession makes it clear.

Voxel51 emerged from computer vision work done by its co-founders, CEO Jason Corso and CTO Brian Moore, at the University of Michigan.

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Geekz Snow
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