Search Results for author: Deeksha Arya

Found 6 papers, 3 papers with code

Road Rutting Detection using Deep Learning on Images

no code implementations28 Sep 2022 Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto

The proposed road rutting dataset and the results of our research study will help accelerate the research on detection of road rutting using deep learning.

Object object-detection +3

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

1 code implementation18 Sep 2022 Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto

The data article describes the Road Damage Dataset, RDD2022, which comprises 47, 420 road images from six countries, Japan, India, the Czech Republic, Norway, the United States, and China.

object-detection Object Detection +1

Transfer Learning-based Road Damage Detection for Multiple Countries

2 code implementations30 Aug 2020 Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto

Lastly, we provide recommendations for readers, local agencies, and municipalities of other countries when one other country publishes its data and model for automatic road damage detection and classification.

Road Damage Detection Transfer Learning

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models

1 code implementation16 Jan 2020 Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng, Jin L. C. Guo

In open-source software (OSS), the design of usability is often influenced by the discussions among community members on platforms such as issue tracking systems (ITSs).

Human-Computer Interaction Software Engineering

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