Skip to content

iberganzo/MLArchaeologyBasics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

76 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning Basics in Computational Archaeology

Deep Learning Feature Detection and Segmentation

via_tool

YOLOv9: https://github.com/WongKinYiu/yolov9/

Citation

To cite this repository:

Orengo, H.A.; Garcia-Molsosa, A.; Berganzo-Besga, I.; Landauer, J.; Aliende, P.; Tres- Martínez, S. New developments in drone-based automated surface survey: Towards a functional and effective survey system. Archaeol. Prospect. 2021, 1–8. https://doi.org/10.1002/arp.1822
Berganzo-Besga, I.; Orengo, H.A.; Lumbreras, F.; Alam, A.; Campbell, R.; Gerrits, P.J.; Gregorio de Souza, J.; Khan, A.; Suárez-Moreno, M.; Tomaney, J.; Roberts, R.C., Petrie, C.A. Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan. Sci Rep 13, 11257 (2023). https://doi.org/10.1038/s41598-023-38190-x

About

Deep Learning Feature Detection and Segmentation

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors