3D Object Annotation

Track 1, 6:30 PM

SPONSOR: Dr. John Femiani
PROBLEM STATEMENT:
There does not exist a tool that allows data to be manually collected about buildings by users. Therefore, we do not have the data to teach a machine learning algorithm to recognize buildings, the individual elements of the building, and even estimate the style and background of the building based on the building’s pattern of architecture.
PROJECT PURPOSE:
To create a tool that workers can use to identify parts of a building. This data can then be used for teaching a machine learning (AI) model by using a collection of workers on Amazon Mechanical Turk.
TEAM MEMBERS:
Kay Harper, David Darling, and Jacob Hubbard

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