TACK Tunnel Data (TTD): A Benchmark Dataset for Deep Learning-Based Defect Detection in Tunnels
Published:Dec 16, 2025 15:10
•1 min read
•ArXiv
Analysis
This article introduces a new benchmark dataset, TTD, designed for deep learning applications in tunnel defect detection. The focus is on providing data to improve the accuracy and efficiency of AI-powered inspection systems. The use of a benchmark dataset allows for standardized evaluation and comparison of different deep learning models.
Key Takeaways
- •Introduces a new benchmark dataset (TTD) for deep learning in tunnel defect detection.
- •Aims to improve the accuracy and efficiency of AI-powered inspection systems.
- •Enables standardized evaluation and comparison of deep learning models.
Reference
“The article likely discusses the specifics of the TTD dataset, including its composition, data collection methods, and potential applications.”