Machine learning model capability assessment

A method comprising:

• receiving, by processing circuitry having access to a storage device, information indicative of a media dataset comprising at least one of audio data and image data, wherein the media dataset corresponds to an object;
• analyzing, by the processing circuitry, the media dataset to compute a corresponding set of operating condition weight values, wherein each operating condition weight value of the set of operating condition weight values corresponds to a different operating condition of a set of operating conditions;
• comparing, by the processing circuitry, 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;
• determining, by the processing circuitry 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;
• and
• performing, by the processing circuitry, an action based on the indication.

A computer-readable medium comprising instructions that, when executed by a processor, causes the processor to:

• receive information indicative of a media dataset comprising at least one of audio data and image data, wherein the media dataset corresponds to an object;
• analyze the media dataset to compute a corresponding set of operating condition weight values, wherein each operating condition weight value of the set of operating condition weight values corresponds to a different operating condition of a set of operating conditions;
• 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;
• 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;
• and
• perform an action based on the indication.