Automatic annotation of subsea survey video

Tachtatzis, Christos (Principal Investigator)
Cleary, Alison (Co-investigator)
Michie, Craig (Co-investigator)
Andonovic, Ivan (Co-investigator)
Atkinson, Robert (Co-investigator)
Hamilton, Andrew (Research Co-investigator)

Project: Research

Status	Finished
Effective start/end date	1/03/17 → 31/01/18

1 Article

Automatic annotation of subsea pipelines using deep learning
Stamoulakatos, A., Cardona, J., McCaig, C., Murray, D., Filius, H., Atkinson, R., Bellekens, X., Michie, C., Andonovic, I., Lazaridis, P., Hamilton, A., Hossain, M. M., Di Caterina, G. & Tachtatzis, C., 26 Jan 2020, In: Sensors. 20, 3, 15 p., 674.
Research output: Contribution to journal › Article › peer-review

Open Access
File
20 Citations (Scopus)

107 Downloads (Pure)

2 Media Participation

Strathclyde University and industry develop algorithm to transform subsea inspection
Tachtatzis, C. (Interviewee)
12 Jan 2018
Activity: Public Engagement and Outreach › Media Participation
N-Sea and University of Strathclyde Collaborate for Practical Implementation of Deep Learning for Subsea Video Annotation
Tachtatzis, C. (Interviewee)
19 Dec 2017
Activity: Public Engagement and Outreach › Media Participation