Sho Kiami

Undergrad, Computer Science

University of Washington

Sho Kiami was a Undergrad in the Makeability Lab for 2.4 years (Jun 2020 to Nov 2022). Sho contributed to 2 projects: Deep Learning for Sidewalk Assessment and Project Sidewalk, as well as 1 publication. Sho was mentored by Mikey Saugstad.

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Projects

This is the thumbnail image for the project Project Sidewalk

Project Sidewalk

2012 – Present

This is the thumbnail image for the project Deep Learning for Sidewalk Assessment

Deep Learning for Sidewalk Assessment

2016 – Present

Papers

Thumbnail for: Scaling Crowd+AI Sidewalk Accessibility Assessments: Initial Experiments Examining Label Quality and Cross-city Training on Performance

Scaling Crowd+AI Sidewalk Accessibility Assessments: Initial Experiments Examining Label Quality and Cross-city Training on Performance

Michael Duan, Sho Kiami, Logan Milandin, Johnson Kuang, Mikey Saugstad, Maryam Hosseini, Jon E. Froehlich

Proceedings of ASSETS'22 2022 | Acceptance Rate: 58.9% (43 / 73)

Keywords: computer vision, urban informatics, deep learning, sidewalk assessment, sidewalk accessibility

PDF doi Cite Project Sidewalk Deep Learning for Sidewalk Assessment