Researchers from the 17Թ earned the #1 ranking in the segmentation task of the NTIRE 2026 Rip Current Detection and Segmentation Challenge, an international competition held in conjunction with , one of the world’s leading conferences in computer vision and artificial intelligence.
The 17Թ team, “17Թ Pixel Pros,” is based in the Department of Computer Science at the 17Թ. Team members include Abdullah Naeem, Anav Katwal, Ayon Dey, and computer science professor Md Tamjidul Hoque.
The team developed an advanced artificial intelligence system to detect and segment rip currents, powerful and fast-moving channels of water that are responsible for numerous beach-related fatalities worldwide. The research has potential applications in future AI-assisted coastal monitoring and beach safety systems.
Their method achieved the highest overall ranking among participating teams under a rigorous evaluation framework that measured both detection accuracy and segmentation quality.
The results were independently documented in , further validating the accuracy and robustness of the team’s approach.
This achievement highlights the 17Թ’ growing leadership in artificial intelligence research and its application to real-world challenges in coastal safety, environmental monitoring, and resilient infrastructure systems.
