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US 2022/0092848 A1Published application
Machine learning based image attribute determination
AssigneeOutward, Inc.
InventorsClarence Chui, Manu Parmar
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Abstract
Techniques for machine learning based image attribute determination are disclosed. In some embodiments, one or more unknown attributes of a received image comprising a prescribed environment are determined using a machine learning based framework. The machine learning based framework is at least in part trained on image data sets comprising a model environment that substantially simulates the prescribed environment.
Claims20
A method, comprising:
- receiving an image for which one or more attributes are unknown, wherein the image comprises a prescribed environment;
- and
- determining one or more unknown attributes for the received image using a machine learning based framework, wherein the machine learning based framework is at least in part trained on image data sets comprising a model environment that substantially simulates the prescribed environment.
A system, comprising:
- a processor configured to:
- receive an image for which one or more attributes are unknown, wherein the image comprises a prescribed environment;
- and
- use a machine learning based framework to determine one or more unknown attributes for the received image, wherein the machine learning based framework is at least in part trained on image data sets comprising a model environment that substantially simulates the prescribed environment;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
3 more elements
A computer program product, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for:
- receiving an image for which one or more attributes are unknown, wherein the image comprises a prescribed environment;
- and
- determining one or more unknown attributes for the received image using a machine learning based framework, wherein the machine learning based framework is at least in part trained on image data sets comprising a model environment that substantially simulates the prescribed environment.
Dependencies are inferred from the claim text.