Deep Learning for Crack-like Object Detection
Product Code:
9781032181196
ISBN13:
9781032181196
Condition:
New
$32.14
With the development of artificial intelligence (AI), the deep learning technique has achieved great success. However, using deep learning for high accurate crack localization is non-trivial. Based on deep learning, this book has solved a bunch of important issues existing in crack-like object detection, and finished a practical smart pavement surface inspection system. By introducing those method and the system, this book gives the reader an easy way to get into the computer vision and deep learning research area. In addition, this research performs a preliminary study about the future AI system, which provides a concept that has potential to realize fully automatic crack detection without human's intervention--
| Author: Kaige Zhang, Heng-Da Cheng |
| Publisher: CRC Press Taylor & Francis Grooup |
| Publication Date: Oct 09, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 1032181192 |
| ISBN-13: 9781032181196 |
Deep Learning for Crack-like Object Detection
$32.14
With the development of artificial intelligence (AI), the deep learning technique has achieved great success. However, using deep learning for high accurate crack localization is non-trivial. Based on deep learning, this book has solved a bunch of important issues existing in crack-like object detection, and finished a practical smart pavement surface inspection system. By introducing those method and the system, this book gives the reader an easy way to get into the computer vision and deep learning research area. In addition, this research performs a preliminary study about the future AI system, which provides a concept that has potential to realize fully automatic crack detection without human's intervention--
| Author: Kaige Zhang, Heng-Da Cheng |
| Publisher: CRC Press Taylor & Francis Grooup |
| Publication Date: Oct 09, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 1032181192 |
| ISBN-13: 9781032181196 |
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