Decoding the city: harnessing machine learning to extract building attributes from street-view imagery

Decoding the city: harnessing machine learning to extract building attributes from street-view imagery

Building attribute data can be used to improve the accuracy of hazard risk models, but detailed per-building data is generally unavailable due to the difficulty of collecting and maintaining such data. Machine learning models could be used to automate part of the collection process, by analysing...

Full description

Bibliographic Details
Main Author: Chia, Zhi Yi
Other Authors: David Lallemant
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Earth and Environmental Sciences
Machine learning
Computer vision
Object detection
Image classification
Attribute prediction
Street-view imagery
Multi-task learning
Building attributes
Faster- RCNN
Online Access:https://hdl.handle.net/10356/174813

Internet

https://hdl.handle.net/10356/174813

Similar Items