Automated Ground Truth Generation for Learning-Based Crack Detection on Concrete Surfaces
This article introduces an automated data-labeling approach for generating crack ground truths (GTs) within concrete images. The main algorithm includes generating first-round GTs, pre-training a deep learning-based model, and generating second-round GTs. On the basis of the generated second-round G...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
MDPI AG
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/ebcf0a49da7240aa9738c10a4bfdbc2c |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|