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RDD2022: A multi-national image dataset for automatic Road Damage
  Detection

RDD2022: A multi-national image dataset for automatic Road Damage Detection

18 September 2022
Deeksha M. Arya
Hiroya Maeda
S. Ghosh
Durga Toshniwal
Inc.
ArXiv (abs)PDFHTML

Papers citing "RDD2022: A multi-national image dataset for automatic Road Damage Detection"

4 / 4 papers shown
Title
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)
Deeksha M. Arya
Hiroya Maeda
S. Ghosh
Durga Toshniwal
Hiroshi Omata
Takehiro Kashiyama
Osaka University of Economics
55
43
0
21 Nov 2022
Global Road Damage Detection: State-of-the-art Solutions
Global Road Damage Detection: State-of-the-art Solutions
Deeksha M. Arya
Hiroya Maeda
S. Ghosh
Durga Toshniwal
Hiroshi Omata
Takehiro Kashiyama
Yoshihide Sekimoto Indian Institute of Technology Roorkee
46
104
0
17 Nov 2020
Transfer Learning-based Road Damage Detection for Multiple Countries
Transfer Learning-based Road Damage Detection for Multiple Countries
Deeksha M. Arya
Hiroya Maeda
S. Ghosh
Durga Toshniwal
A. Mraz
Takehiro Kashiyama
Yoshihide Sekimoto Indian Institute of Technology Roorkee
49
75
0
30 Aug 2020
Road Damage Detection Using Deep Neural Networks with Images Captured
  Through a Smartphone
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
Hiroya Maeda
Y. Sekimoto
Toshikazu Seto
Takehiro Kashiyama
Hiroshi Omata
50
675
0
29 Jan 2018
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