Verily Life Sciences LLC

Yaniv Ovadia

Tiantian Zha

Dilip Krishnan

Mark Desnoyer

Josh Livni

Peter Massaro

Victor Criswell

Nigel Snoad

Daniel Newburger

Yi Han

Insects can be classified into a category (e.g., sex category, species category, size category, etc.) using a variety of different classification approaches including, for example, an industrial vision classifier and/or a machine learning classifier. At least some classification approaches may be used in real-time to make real-time decisions and others can be used to validate earlier-made real-time decisions.

Predictive classification of insects

Insects can be localized and classified using a predictive model. To begin, image data is obtained that corresponds to the insects. Using a predictive model, samples of the image data are evaluated to determine whether the image portions include an insect and, if so, into what category the insect should be classified (e.g., male/female, species A/species B, etc.).

Predictive models for visually classifying insects

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Cambridge, MA, United States of America

Yaniv Ovadia