Sign In

Communications of the ACM

ACM TechNews

Australian Researchers Use ML to Analyze Rock Art


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
Examining ancient rock art.

South Australian researchers have been working with the Mimal and Marrku traditional owners of the Wilton River area in Australia's Top End to analyze the evolution of rock art through machine learning.

Credit: Mimal Land Management Aboriginal Corporation

South Australian researchers at Flinders University are analyzing the evolution of rock art via machine learning.

The team studied images of art collected during surveys of the Arnhem Land region using previously trained and published convolutional neural network models and dataset combinations each designed for object classification.

The Flinders investigators used transfer learning to deploy these networks on the dataset without retraining, and analyzed the models' response or activation on a rock art dataset.

Flinders' Daryl Wesley said the computer observed over 1,000 different types of objects, and learned to differentiate them by looking at photos.

Flinders' Ian Moffat said transfer learning removed a significant amount of human bias from the analysis, and an especially exciting aspect of this research is that "it is replicating the results of other studies that have used a more traditional approach."

From ZDNet
View Full Article

 

Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account