Title:
DEVICE, METHOD, AND PROGRAM FOR LEARNING FISH SPECIES
Document Type and Number:
WIPO Patent Application WO/2024/038653
Kind Code:
A1
Abstract:
To provide a fish species learning device, a fish species learning method and a program that can perform machine learning for fish species identification with better accuracy. To solve this problem, a server 20 (fish species learning device) includes a storage unit (202) that stores annotation data for each unit echo image (Pn, Pn+1), and a control unit (201). The control unit (201) extracts a first annotation data and a second annotation data of a fish school extending over a first unit echo image (Pn) and a second unit echo image (Pn+1) from the annotation data of the first and second unit echo images, respectively, the first and second unit echo images (Pn, Pn+1) being temporally consecutive in time and generates the annotation data of the entire fish school that extends over the first and second unit echo images by integrating the extracted first and second annotation data.
Inventors:
KASAI AKINORI (JP)
HIRABAYASHI YUTA (JP)
MURAGAKI MASASHI (JP)
HIRABAYASHI YUTA (JP)
MURAGAKI MASASHI (JP)
Application Number:
PCT/JP2023/019775
Publication Date:
February 22, 2024
Filing Date:
May 26, 2023
Export Citation:
Assignee:
FURUNO ELECTRIC CO (JP)
International Classes:
G06Q50/02; A01K61/95; G01S15/96
Foreign References:
| EP3761059A1 | 2021-01-06 | |||
| JP2014190787A | 2014-10-06 |
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