Generating annotated data samples for training using trained generative model
AssigneeInternational Business Machines Corporation
InventorsMarkus POBITZER, Filip Michal JANICKI, Mattia RIGOTTI, Adelmo Cristiano Innocenza MALOSSI
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Abstract
An example system includes a processor to receive an annotated data sample comprising an object contained in an annotated mask. The processor can partially erase the object contained in the annotated mask. The processor can fill out an erased area of the object a predetermined number of times via a generative model to generate additional annotated data samples.
Claims20
A system, comprising a processor to:
- receive an annotated data sample comprising an object contained in an annotated mask;
- partially erase the object contained in the annotated mask;
- and
- fill out an erased area of the object a predetermined number of times via a trained generative model to generate an additional annotated data sample.
A computer-implemented method, comprising:
- receiving, via a processor, an annotated data sample comprising an object contained in an annotated mask;
- partially erasing, via the processor, the object contained in the annotated mask;
- and
- filling out, via the processor, an erased area of the object via a trained generative model to generate an additional annotated data sample.
A computer program product for generation of annotated data samples, the computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code executable by a processor to cause the processor to:
- receive an annotated data sample comprising an object contained in an annotated mask;
- partially erase the object contained in the annotated mask;
- and
- fill out an erased area of the object a predetermined number of times via a generative model to generate additional annotated data samples.
Dependencies are inferred from the claim text.