Project Details

Deep Learning in Archaeology

Project Period: 25. 11. 2024 - 19. 9. 2028

Project Type: grant

Agency: COST, European Cooperation in Science and Technology

Program: European Cooperation in Science and Technology (COST)

Czech title
DL4Arch - Hluboké učení v archeologii
Type
grant
Abstract

The project will contribute to the activities of COST Action CA23141 - MAIA - in the areas related to exploring advanced deep learning models in diverse archaeological contexts, managing relevant training and evaluation data collections, analysing existing and newly created digital comparative collections, and investigating robustness and transparency of learning approaches in archaeology.

Team members
Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , research leader
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