A Method of Data Augmentation for Classifying Road Damage Considering Influence on Classification Accuracy

Author:

Tsuchiya Haruki,Fukui Shinji,Iwahori Yuji,Hayashi Yoshitsugu,Achariyaviriya Witsarut,Kijsirikul Boonserm

Funder

Japan International Cooperation Agency

Japan Society for the Promotion of Science

Science and Technology Research Partnership for Sustainable Development

Japan Science and Technology Agency

Chubu University

Publisher

Elsevier BV

Subject

General Engineering

Reference7 articles.

1. “Smart transport strategy for thailand 4.0 realizing better quality of life and low-carbon society”, Jst-jica project;Yoshitsugu,2017

2. Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, and Hiroshi Omata. “road damage detection using deep neural networks with images captured through a smartphone”, 2018.

3. Joseph Redmon and Ali Farhadi. “yolov3: An incremental improvement”. arXiv preprint arXiv:1804.02767, 2018.

4. Alexander B. Jung. Imgaug, https://github.com/aleju/imgaug

5. Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li and Li Fei-Fei. “ImageNet: A Large-Scale Hierarchical Image Database”, In CVPR09, 2009.

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