RDD2022: A multi‐national image dataset for automatic road damage detection

Abstract The data article describes the Road Damage Dataset, RDD2022, encompassing of 47,420 road images from majorly six countries, Japan, India, the Czech Republic, Norway, the United States, and China. The dataset incorporates over 55,000 instances of road damage, specifically longitudinal cracks...

全面介紹

書目詳細資料

Principais autores:	Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto
格式:	Artigo
語言:	Inglês
出版:	Wiley 2024-10-01
叢編:	Geoscience Data Journal
主題:	artificial intelligence deep learning global road damage detection intelligent transport system multi‐national data
在線閱讀:	https://doi.org/10.1002/gdj3.260
標簽:	添加標簽 沒有標簽, 成為第一個標記此記錄!