MACHINE LEARNING MODEL CAPABILITY ASSESSMENT

In some examples, a system includes a storage device; and processing circuitry having access to the storage device. The processing circuitry is configured to receive information indicative of a media dataset, where the media dataset corresponds to an object; and analyze the media dataset to compute...

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Bibliographic Details
Main Authors Lawson, Aaron, McLaren, Mitchell L, Castan Lavilla, Diego
Format Patent
LanguageEnglish
Published 10.02.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:In some examples, a system includes a storage device; and processing circuitry having access to the storage device. The processing circuitry is configured to receive information indicative of a media dataset, where the media dataset corresponds to an object; and analyze the media dataset to compute a corresponding set of operating condition weight values. Additionally, the processing circuitry is configured to compare the set of operating condition weight values corresponding to the media dataset with a plurality of sets of reference operating condition weight values that each correspond to a different reference media dataset of a plurality of reference media datasets; and determine, based on the comparison of the set of operating condition weight values with the plurality of sets of reference operating condition weight values, an indication of a capability of a trained machine learning model to correctly verify the object in the media dataset.
Bibliography:Application Number: US202117508365