Label collection apparatus, label collection method, and label collection program
AssigneeKyushu Institute of Technology
InventorSozo Inoue
Life of this patent
Estimating the term…
Abstract
A label collection apparatus includes an acquirer configured to acquire a teacher label of teacher data used for machine learning, a learning processor configured to execute machine learning of a model on the basis of the teacher data including the acquired teacher label, an accuracy detector configured to detect an accuracy of the model, and a presentation processor configured to present the accuracy, in which the acquirer is configured to acquire updated teacher data.
Claims6
A label collection apparatus comprising:
- an acquirer configured to acquire a teacher label of teacher data used for machine learning;
- a learning processor configured to execute machine learning of a model on the basis of the teacher data including the acquired teacher label;
- an accuracy detector configured to detect an accuracy of the model;
- and
- a presentation processor configured to present the accuracy,
- wherein the acquirer is configured to acquire updated teacher data.
A label collection apparatus comprising:
- an acquirer configured to acquire a first teacher label of first teacher data used for machine learning;
- a learning processor configured to execute machine learning of a first model on the basis of the first teacher data including an acquired first teacher label and a sample;
- an accuracy detector configured to detect an accuracy of the first model;
- a presentation processor configured to present the accuracy;
- and
- a warning processor configured to output a warning when a similarity degree between the first teacher data and second teacher data including a second teacher label which is a correct as a behavior label for the sample is equal to or less than a predetermined similarity threshold value,
- wherein the acquirer is configured to acquire updated first teacher data.
A label collection method comprising:
- a step of acquiring a first teacher label of first teacher data used for machine learning;
- a step of executing machine learning of a first model on the basis of the first teacher data including the acquired first teacher label and a sample;
- a step of detecting an accuracy of the first model;
- a step of presenting the accuracy;
- a step of outputting a warning when a similarity degree between the first teacher data and second teacher data including a second teacher label which does not have little relation to the sample is equal to or less than a predetermined similarity threshold value;
- and
- a step of acquiring updated first teacher data.
A non-transitory computer readabled medium for storing a label collection program, comprising:
- the computer readable medium for causing a computer to execute:
- a procedure for acquiring a first teacher label of first teacher data used for machine learning;
- a procedure for executing machine learning of a first model on the basis of the first teacher data including the acquired first teacher label and a sample;
- a procedure for detecting an accuracy of the first model;
- a procedure for presenting the accuracy;
- a procedure for outputting a warning when a similarity degree between the first teacher data and second teacher data including a second teacher label which does not have little relation to the sample is equal to or less than a predetermined similarity threshold value;
- and
- a procedure for acquiring updated first teacher data.
Dependencies are inferred from the claim text.