InstaDam: Open-Source Platform for Rapid Semantic Segmentation of Structural Damage

InstaDam: Open-Source Platform for Rapid Semantic Segmentation of Structural Damage

The tremendous success of automated methods for the detection of damage in images of civil infrastructure has been fueled by exponential advances in deep learning over the past decade. In particular, many efforts have taken place in academia and more recently in industry that demonstrate the success...

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Bibliographic Details
Main Authors: Vedhus Hoskere, Fouad Amer, Doug Friedel, Wanxian Yang, Yu Tang, Yasutaka Narazaki, Matthew D. Smith, Mani Golparvar-Fard, Billie F. Spencer
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
supervised learning
deep learning
image processing
structural inspections
damage identification
computer vision
Online Access:https://www.mdpi.com/2076-3417/11/2/520

Internet

https://www.mdpi.com/2076-3417/11/2/520

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