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'Unbiased' Computer Software Learns To Decipher Australian Rock Art


The newly created  computer program  allowed archaeologists to “see” comparative differences in the rock art of the Wilton River region. The  machine learning  program analyzed rock art images taken by archaeologists from 2018 and 2019 in Marrku County.
Dr. Wesley of the  Flinders University  team explained, “In total, the computer saw more than 1000 different types of objects and learned to tell the difference between them just by looking at photos of them.”
One of the study’s main purposes was to analyze the  evolution and chronology  of known and newly discovered  Australian rock art . The results were astonishing: the computer learned to process information that would have taken humans years to look through. ....

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Aussie researchers using machine learning to analyse rock art


Aussie researchers using machine learning to analyse rock art
Working with Mimal and Marrku traditional owners of the Wilton River area, the researchers from South Australia have been using machine learning to analyse images of rock art and map their evolution.
April 1, 2021 04:44 GMT (21:44 PDT)
| Topic: Innovation
Young Dakal clan landowner Desmond Lindsay visits this site on his country for the first time. Most sites are remote and often impossible to even approach closely by vehicle.
Image: Mimal Land Management Aboriginal Corporation (MLMAC)
South Australian researchers have been working with the Mimal and Marrku traditional owners of the Wilton River area in Australia s Top End to analyse the evolution of rock art through machine learning. ....

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When rock art meets machine learning


Date Time
When rock art meets machine learning
Young Dakal clan landowner Desmond Lindsay visits this site on his country for the first time. Most sites are remote and often impossible to even approach closely by vehicle. Photo: Mimal Land Management
Aboriginal Corporation (MLMAC).
Rock art of human figures created over thousands of years in Arnhem Land has been put through a transformative machine learning study to analyse style changes over the years.
The study – just published in Australian Archaeology – has tested different styles labelled ‘Northern Running figures’, ‘Dynamic figures’, ‘Post Dynamic figures’ and ‘Simple figures with Boomerangs’ to understand how these styles relate to one another. ....

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