Deep Learning for Crack-Like Object Detection (CRC Focus)

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Publisher ‏ : ‎ CRC Press; 1st edition (March 20, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 100 pages
ISBN-10 ‏ : ‎ 1032181184
ISBN-13 ‏ : ‎ 978-1032181189
Item Weight ‏ : ‎ 7.4 ounces
Dimensions ‏ : ‎ 0.29 x 5.43 x 8.5 inches

Fix today. Protect forever. Secure your devices with the #1 malware removal and protection software
Deep Learning for Crack-Like Object Detection (CRC Focus)

Cracks in structures can be a serious issue, leading to safety hazards and costly repairs. Detecting cracks early on is crucial for preventing further damage and ensuring the structural integrity of buildings, bridges, and other infrastructure.

In recent years, deep learning has emerged as a powerful tool for crack detection in images. By training neural networks on large datasets of images containing cracks, researchers have been able to develop more accurate and efficient algorithms for identifying cracks in various materials.

In this post, we will explore the latest advancements in deep learning for crack-like object detection, with a focus on the construction, roads, and civil engineering (CRC) industries. We will discuss the challenges faced in crack detection, the different types of deep learning models used, and the potential applications of this technology in improving infrastructure maintenance and safety.

Stay tuned for a deep dive into the world of deep learning for crack-like object detection, and learn how this cutting-edge technology is revolutionizing the way we detect and repair cracks in structures.
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