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Binary content files assigned to document objects in yuuvis® Momentum can be analyzed in the ML Pipeline in order to extract specific metadata. Based on the trained models, predictions for values of specific object properties can be determined. The object properties have to be listed in the inference schema where also conditions for the values and settings for the prediction responses are specified.
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Inference Schema
The inference schema is a JSON configuration file defining the object types that will be available for the classification as well as the properties for which the metadata extraction should determine suitable values. At the same time, each internal aiObjectTypeId (aiPropertyId) gets a corresponding objectTypeId (propertyId) that will be used in the response bodies of the classification (extraction) endpoints to be compatible with the connected client application.
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