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Hey everyone! I'm Alex, CEO and co-founder of Scale. One of the biggest bottlenecks to development in perception and vision for robotics and self-driving compan
by ayw 9y ago
Hey everyone! I'm Alex, CEO and co-founder of Scale. One of the biggest bottlenecks to development in perception and vision for robotics and self-driving companies has been the ability to label 3D data. The ability to label LIDAR, camera, and radar data together has been able to massively accelerate our customers' timelines.
We've worked with a number of self-driving companies like GM Cruise, nuTonomy, Voyage, Embark, and more to build high-quality training datasets quickly leveraging our API. Scale is the perfect platform for this work—we're focused on really high quality data produced by humans via API.
- lwhite726 9y agohey alex, your link is not working for me!
- AndrewKemendo 9y agoThere are quite a few labeling companies out there now, and it seems like you're differentiated on accepting pointclouds, which is great. In every case of one of these labeling company, when I talk with them it's almost 100% manual (data augmentation or boostrapped iterative manual checking aside) - which of course makes sense right now. My question is, how do you plan on eventually automating labeling? That is effectively an unsupervised system in the long run which of course is pretty well unsolved. Do you use the customer provided images and your labels to create your own inference models? Seems like that would be an obvious part of any Venture pitch in this space, but potentially put you at odds with your customer base (companies like mine for example which generate a lot of visual data).