Done right, this process can teach self-driving cars to avoid pedestrians, detect parking lot usage by counting cars in satellite photos or assess roof damage from drone footage. This is what CrowdAI does. CrowdAI detects parking lots full of cars Businesses send CrowdAI their autonomous vehicle, satellite or drone imagery. CrowdAI’s artificial intelligence systems do the grunt work of recognizing objects, and humans confirm everything was properly recognized while looping back to improve the AI. Now the Y Combinator startup has raised $2 million from Susa Ventures, Box Group, SV Angel, Metamorphic and Yahoo founder Jerry Yang’s AME Cloud. That will fuel CrowdAI’s push to create an instant hybrid workforce of humans and computers that satellite and self-driving car companies can rely on to analyze their data. The biggest barrier to getting there is creating the bridges that allow computers to interact with the world,” says co-founder Nic Borensztein. CrowdAI’s founders (from left): Pablo Garcia, Devaki Raj and Nic Borensztein Together, they recognized that computer vision and image recognition would change a huge swath of businesses that might not be able to adapt by themselves. Meanwhile, Clarifai and the Google Image API depend on computers, which aren’t always accurate enough to create training data for AI algorithms. CrowdAI’s most direct competitor, Orbital Insight, has raised more than $28 million, but focuses exclusively on satellite imagery.
Computers aren’t blind, but they can’t see. They can detect objects, but must be trained to understand what those objects are. That takes two things: a ton of example data collected and organized by artificial intelligence and humans to accurately label and verify that data.
Done right, this process can teach self-driving cars to avoid pedestrians, detect parking lot usage by counting cars in satellite photos or assess roof damage from drone footage.
This is what CrowdAI does.
Businesses send CrowdAI their autonomous vehicle, satellite or drone imagery. CrowdAI’s artificial intelligence systems do the grunt work of recognizing objects, and humans confirm everything was properly recognized while looping back to improve the AI. This service lets customers focus on their unique business, like building advanced hardware, instead of developing AI systems from scratch.
Now the Y Combinator startup has raised $2 million from Susa Ventures, Box Group, SV Angel, Metamorphic and Yahoo founder Jerry Yang’s AME Cloud. That will fuel CrowdAI’s push to create an instant hybrid workforce of humans and computers that satellite and self-driving car companies can rely on to analyze their data.
“The world is moving towards automation, robotics,…
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