Learning data generation device, learning device, and learning data generation method
JPWO2026004164A5Active Publication Date: 2026-09-07MITSUBISHI ELECTRIC CORP
0 Cites 0 Cited by
Patent Information
- Application Number
- JP2026531459
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-09-20
- Filing Date
- 2024-09-20
- Publication Date
- 2026-09-07
- Estimated Expiration
- 2044-09-20
AI Technical Summary
Technical Problem
Existing machine learning systems using image data face high processing loads during the learning stage, necessitating a reduction in processing burden.
Method used
A training data generation device that acquires, extracts features, displays data positions in a specific space, allows user selection of positions, generates new data based on user input, and reconstructs the new data into intermediate form for neural network learning, reducing processing load.
Benefits of technology
Reduces processing load during the learning stage by allowing user interaction to generate and optimize training data, improving inference accuracy without specialized knowledge.
✦ Generated by Eureka AI based on patent content.
Abstract
A learning data generation device (100) comprises: an image data acquisition unit (101) that acquires a plurality of pieces of image data; a feature amount extraction unit (102) that extracts a feature amount from each of the plurality of pieces of image data; a feature amount display unit (103) that causes a display device (10) to display the positions of the plurality of pieces of image data in a specific space according to the degrees of similarity between the feature amounts extracted by the feature amount extraction unit (102); a position information acquisition unit (104) that acquires position information indicating any position in the specific space selected by a user while the positions of the plurality of pieces of image data in the specific space are displayed on the display device (10); a data generation unit (105) that generates new data of a feature amount corresponding to the position indicated by the position information in the specific space; and a data reconstruction unit (106) reconstructs the new data generated by the data generation unit (105) into intermediate data of a feature amount, the number of dimensions of which is between the numbers of dimensions of the plurality of pieces of image data and the new data.
Need to check novelty before this filing date? Find Prior Art