1. https://www.flickr.com/photos/oufoufsworld/
Archaeologists invest
considerable time and funding
to identify and classify finds.
Pottery is fundamental to
understand archaeological
contexts.
Till today, classification of
ceramics is carried out
manually, through the
expertise of specialists and the
use of paper catalogues.
Machine learning applied to
automatic recognition of
archaeological ceramic
Past
Future
2. ArchAIDE developed an innovative app
for automatic classification, making
knowledge accessible.
HOW:
• digital comparative collection;
• automatic workflow to digitise paper
catalogues;
• Deep learning algorithms
3. Stakeholders
• Research institutions, research infrastructures
• Professional archaeologists
• Cultural heritage, tourism, and ICT companies
• ICT developers connected to Cultural Heritage