US 12,718,119 B2 · Method and system for providing annotation information for target data through hint-based machine learning model

Abstract

Provided is a method for training a hint-based machine learning model configured to infer annotation information for target data, including obtaining training data for the machine learning model, wherein the training data includes a plurality of target data items provided with a plurality of annotation information items, and extracting a plurality of pixel groups from the plurality of target data items. The extracted plurality of pixel groups may be included in hint information. In addition, the method includes obtaining, from the plurality of annotation information items, a plurality of annotation classes corresponding to the extracted plurality of pixel groups to include the obtained plurality of annotation classes in the hint information, and training, by using the hint information, the machine learning model to infer the plurality of annotation information items associated with the plurality of target data items.

Claims20

Dependent claims

A method for providing annotation information for target data through a machine learning model, the method being performed by at least one computing device and comprising:

providing the target data to an annotator terminal;
receiving, from the annotator terminal, first annotation information for a region among at least one region corresponding to an annotation class in the target data, wherein the first annotation information corresponds to hint information for inferring the annotation class for the at least one region;
encoding the first annotation information into the target data, and inputting the target data and the encoded first annotation information into the machine learning model to obtain second annotation information for the target data, which is a result of inferring annotation information for the at least one region in the target data;
providing the second annotation information representing inferred annotation information for an entire region corresponding to the annotation class in the target data to the annotator terminal;
and
receiving, from the annotator terminal, feedback information for the second annotation information.

3 more elements

An information-processing system comprising:

a memory storing one or more instructions;
and
a processor configured to execute the stored one or more instructions to:
provide target data to an annotator terminal;
receive, from the annotator terminal, first annotation information for a region among at least one region corresponding to an annotation class in the target data, wherein the first annotation information corresponds to hint information for inferring the annotation class for the at least one region;
encode the first annotation information into the target data, and input the target data and the encoded first annotation information into a machine learning model to obtain second annotation information for the target data, which is a result of inferring annotation information for the at least one region in the target data;
provide the second annotation information representing inferred annotation information for an entire region corresponding to the annotation class in the target data to the annotator terminal;
and
receive, from the annotator terminal, feedback information for the second annotation information.

6 more elements

Dependencies are inferred from the claim text.

Method and system for providing annotation information for target data through hint-based machine learning model

Life of this patent

Method and system for providing annotation information for target data through hint-based machine learning model

Life of this patent

Abstract

Claims20