Development of an Image Data Set of Construction Machines for Deep Learning Object Detection
Author:
Affiliation:
1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3.
2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3 (corresponding author).
Publisher
American Society of Civil Engineers (ASCE)
Subject
Computer Science Applications,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000945
Reference54 articles.
1. Appalaraju S. and V. Chaoji. 2017. “Image similarity using deep CNN and curriculum learning.” Preprint submitted September 26 2017. http://arxiv.org/abs/1709.08761.
2. Arabi S. A. Haghighat and A. Sharma. 2019. “A deep learning based solution for construction equipment detection: From development to deployment.” Preprint submitted March 26 2019. http://arxiv.org/abs/1904.09021.
3. The future of construction automation: Technological disruption and the upcoming ubiquity of robotics
4. Work experiences on MTurk: Job satisfaction, turnover, and information sharing
5. Automated vision tracking of project related entities
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