4th Datathon
Title: 4th Annual VIMS Datathon Competition 2023
Scope: To focused on detection of objects in video streams that are of significance to the Architectural, Engineering, Construction, and Facilities Management (AEC/FM) community.
Organizer: ASCE VIMS Committee
Time: April-June 2023
Dataset: Teams are tasked to find video streams that contain construction equipment and people (the list of specific equipment provided below) in any construction setting. The identified video streams should include the following object types: Cranes (tower, mobile), Excavators (backhoe, front shovel), Bulldozers, Scrapers, Trucks, and Construction Workers.
Winners:
First Place:
Team name: GO BLue INtelligence (GOBLIN) Detector, University of Michigan
Advisor: SangHyun Lee
Students: Gunwoo Yong, Francis Baek, Leyang Wen, Seung-Gu Lee, Juhyeon Bae
Second Place:
Team name: Construction API, National Taiwan University
Advisor: Jacob J. Lin
Students: Le Thai-Hoa, Aritra Pal, Emilio Murillo Sierra, Ralph Cheng
Third Place:
Team name: Bilab, New York University
Advisor: Semiha Ergan
Students: Keundeok Park, Beyza Kiper, Sam Karmarkar
Announcement4
VIMS 