We use a proprietary system of synthetic data generation to create custom ML models that are able to see objects and all of their properties, including type, brand, size, location, and most important state: on/off, open/closed, current volume, etc. Our end-to-end toolchain is incredibly flexible, and delivers finished CoreML mobile specific models for objects previously undetectable by algorithms—including transparent or translucent, deformable, liquids, and aggregates. And we're able to do all of it without complex dataset collection and annotation, shrinking the process from months to minutes....
We use a proprietary system of synthetic data generation to create custom ML models that are able to see objects and all of their properties, including type, brand, size, location, and most important state: on/off, open/closed, current volume, etc. Our end-to-end toolchain is incredibly flexible, and delivers finished CoreML mobile specific models for objects previously undetectable by algorithms—including transparent or translucent, deformable, liquids, and aggregates. And we're able to do all of it without complex dataset collection and annotation, shrinking the process from months to minutes.
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Noah Rosenberg
Admin
Noah Rosenberg CTO I'm a 4x founder, longtime creative technologist and product leader with a 12 year focus on computer vision.