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Graduate student team places second in inaugural image-based structural damage recognition competition

A team of graduate students from the Lyles School of Civil Engineering placed first runner-up in the first image-based structural damage recognition competition, namely PEER Hub ImageNet (PHI) Challenge organized by the Pacific Earthquake Engineering Research (PEER) Center. Rih-Teng Wu, Tarutal Ghosh Mondal, Yu-Ting Huang and Cheng Qian are the team members from Smart Informatix Laboratory directed by Assistant Professor Mohammad Jahanshahi.

A team of graduate students from the Lyles School of Civil Engineering placed first runner-up in the first image-based structural damage recognition competition, namely PEER Hub ImageNet (PHI) Challenge organized by the Pacific Earthquake Engineering Research (PEER) Center. Rih-Teng Wu, Tarutal Ghosh Mondal, Yu-Ting Huang and Cheng Qian are the team members from Smart Informatix Laboratory directed by Assistant Professor Mohammad Jahanshahi.

The team had to compete in eight detection tasks to contribute to the establishment of automated vision-based structural health monitoring by using large image datasets provided by PEER. The team ranked first for two of the tasks, ranked second for two of the tasks, and ranked third for three of the tasks. They also won the best report award and finished as the first runner-up of the overall performance among all the Engineering category teams that participated in this international competition.

Complete results from the competition are posted at https://apps.peer.berkeley.edu/phichallenge/winner/, with the Purdue team name listed "SIL-CE."