Systems and methods for recognition of user-provided images
AssigneeCapital One Services, LLC
InventorsYue Duan, Chi-San Ho, Micah Price
Life of this patent
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AssigneeCapital One Services, LLC
InventorsYue Duan, Chi-San Ho, Micah Price
Estimating the term…
The present disclosure provides devices, systems and computer-readable media for identifying object characteristics using a machine learning model trained to de-emphasize brightness values. The machine learning model can be trained using modified training data. Modifying the training data can include converting the training data from an original color space into a color space having a brightness channel. The values of the brightness channel for the, training data can then be modified. After the values of the brightness channel are modified, the training data can be converted back into the original color space and used to train the machine learning model. A detection device can be configured with the machine learning model and used to identify object characteristics.
A mobile device for object characteristic identification, comprising:
A non-transitory computer-readable medium containing instructions that, when executed by at least one processor, cause a mobile device to perform object characteristic identification operations, comprising:
A method for object characteristic identification, comprising:
Dependencies are inferred from the claim text.