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...
Saved in:
Main Author: | Chia, Zhi Yi |
---|---|
Other Authors: | David Lallemant |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174813 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Human attribute analysis using a top-view camera based on two-stage classification
by: Yamasaki T., et al.
Published: (2018) -
Multi-Task CNN Model for Attribute Prediction
by: Abdulnabi, Abrar H., et al.
Published: (2016) -
Automatic assessment of public open spaces using street view imagery
by: Chen, Shuting, et al.
Published: (2023) -
Spoken attributes: Mixing binary and relative attributes to say the right thing
by: Sadovnik A., et al.
Published: (2018) -
Age estimation via attribute-region association
by: CHEN, Yiliang, et al.
Published: (2019)