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Found 6 papers, 2 papers with code
Transfer Learning-based Road Damage Detection for Multiple Countries
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.
RDD2022: A multi-national image dataset for automatic Road Damage Detection
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.
Online Anomaly Detection via Class-Imbalance Learning
In this paper, we tackle this problem from supervised learning perspective in online learning setting.
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets
Government-sponsored policy-making and scheme generations is one of the means of protecting and promoting the social, economic, and personal development of the citizens.
Global Road Damage Detection: State-of-the-art Solutions
In total, 121 teams from several countries registered for this competition.
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)
The Big Data Cup challenges involve a released dataset and a well-defined problem with clear evaluation metrics.
