Data copyright © ArchAIDE consortium unless otherwise stated
This work is licensed under a Creative Commons Attribution 4.0 International License.
Gabriele
Gattiglia
Senior researcher
Universita di Pisa
Dipartimento di Civilta e Forme del Sapere
Via Trieste 40
Pisa
56126
Tel: +39 050 2215228
Location | World region | Continental Europe | |||||||||
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TGN | World, Europe [1000003] | ||||||||||
Grid reference | Latitude longitude bounding box |
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Subject | FISH Archaeological Objects (England) | Amphora | |||||||||
FISH Archaeological Objects (England) | CERAMIC | ||||||||||
Library of Congress Subject Headings | Archaeology | ||||||||||
Library of Congress Subject Headings | Machine learning | ||||||||||
Library of Congress Subject Headings | Mobile apps | ||||||||||
Library of Congress Subject Headings | Archaeological illustration | ||||||||||
NMR/NT Thred | World, Europe [1000003] | ||||||||||
Period | MIDAS | Medieval | |||||||||
MIDAS | Modern | ||||||||||
MIDAS | Roman | ||||||||||
Project dates | Created From | 01-JUN-2016 | |||||||||
Created To | 31-MAY-2019 | ||||||||||
First Released | 11-MAR-2019 | ||||||||||
Last Modified | 28-NOV-2019 | ||||||||||
Related information | Associated Collection | ArchAIDE deep learning algorithm | |||||||||
Associated Publication | Anichini, F. et al. (2020). Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition, Internet Archaeology 52. | ||||||||||
Data types available | 3D Model | 478 objects | |||||||||
Spreadsheet | 17 objects | ||||||||||
Vector | 478 objects | ||||||||||
Video | 42 objects | ||||||||||
7 objects |
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