ARTIFICIAL INTELLIGENCE GENERATED SYNTHETIC IMAGE DATA FOR USE WITH MACHINE LANGUAGE MODELS

A computer completes a data image analysis task. The computer receives a machine learning (ML) model trained for use with image data content characterized by first context. The computer receives an evaluation image dataset having evaluation image data content characterized by a second context. The c...

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Bibliographische Detailangaben
Hauptverfasser: Britto Mattos Lima, Andrea, Vasconcelos, Marisa Affonso, Avegliano, Priscilla Barreira, Borges Oliveira, Dario Augusto
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A computer completes a data image analysis task. The computer receives a machine learning (ML) model trained for use with image data content characterized by first context. The computer receives an evaluation image dataset having evaluation image data content characterized by a second context. The computer receives a request to complete an image data analysis task for the evaluation image dataset using the ML model. The computer compares the contexts to determine whether the contexts are similar and whether the evaluation image dataset is compatible with the ML model. If the evaluation dataset is incompatible with the ML model, the computer uses the generative model to generate a ML model compatible synthetic image dataset based on the evaluation dataset. The computer applies the ML model to the synthetic image dataset to provide an answer for the data image analysis task; the computer delivers the answer to a user interface.