  Robust and reliable traffic sign detection is necessary to bring autonomous
vehicles onto our roads. State-of-the-art algorithms successfully perform
traffic sign detection over existing databases that mostly lack severe
challenging conditions. VIP Cup 2017 competition focused on detecting such
traffic signs under challenging conditions. To facilitate such task and
competition, we introduced a video dataset denoted as CURE-TSD that includes a
variety of challenging conditions. The goal of this challenge was to implement
traffic sign detection algorithms that can robustly perform under such
challenging conditions. In this article, we share an overview of the VIP Cup
2017 experience including competition setup, teams, technical approaches,
participation statistics, and competition experience through finalist teams
members' and organizers' eyes.
