| Presentation | 2020-03-08 Proposal of Data Augmentation Methods for Echo Sounder Image Analysis Min Jie, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Data augmentation plays an important role in deep learning. Recently, RandAugment have been proposed as effective augmentation methods. In aquaculture, echo sounder image analysis is used for catching specific kind of fish to improve annual catches. Therefore, it remains significant to research for effects of different methods and find suitable augmentation method for echo sounder image analysis. This paper aims at finding effective settings for RandAugment by comparing effects of different transformation methods and figure out fitness of basic methods used in RandAugment for sonar image according to their variations with original images. The experiment results show improvement on recall rate and f1 score of distinguishing tuna in echo sounder images with suitable transformation methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Echo sounder imageData AugmentationRandAugmentDeep learning |
| Paper # | AI2019-54 |
| Date of Issue | 2020-03-01 (AI) |
| Conference Information | |
| Committee | AI / IPSJ-ICS / JSAI-SAI / JSAI-DOCMAS / JSAI-KBS |
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| Conference Date | 2020/3/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Workshop of Social System and Information Technology (WSSIT20) |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing / Special Interest Group on Intelligence and Complex Systems / Special Interest Group on Society and Artificial Intelligence / Special Interest Group on Data Oriented Constructive Mining and Simulation / Special Interest Group on Knowledge-Based Systems |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of Data Augmentation Methods for Echo Sounder Image Analysis |
| Sub Title (in English) | |
| Keyword(1) | Echo sounder imageData AugmentationRandAugmentDeep learning |
| 1st Author's Name | Min Jie |
| 1st Author's Affiliation | Hokkaido University(Hokudai) |
| 2nd Author's Name | Soichiro Yokoyama |
| 2nd Author's Affiliation | Hokkaido University(Hokudai) |
| 3rd Author's Name | Tomohisa Yamashita |
| 3rd Author's Affiliation | Hokkaido University(Hokudai) |
| 4th Author's Name | Hidenori Kawamura |
| 4th Author's Affiliation | Hokkaido University(Hokudai) |
| Date | 2020-03-08 |
| Paper # | AI2019-54 |
| Volume (vol) | vol.119 |
| Number (no) | AI-469 |
| Page | pp.pp.1-5(AI), |
| #Pages | 5 |
| Date of Issue | 2020-03-01 (AI) |