The 1st Data Science for Pavements Challenge. (arXiv:2206.04874v1 [cs.CV])

The Data Science for Pavement Challenge (DSPC) seeks to accelerate the
research and development of automated vision systems for pavement condition
monitoring and evaluation by providing a platform with benchmarked datasets and
codes for teams to innovate and develop machine learning algorithms that are
practice-ready for use by industry. The first edition of the competition
attracted 22 teams from 8 countries. Participants were required to
automatically detect and classify different types of pavement distresses
present in images captured from multiple …

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