Abstract:
"Cultural & heritage tourism is experiencing historical places, artefacts, and traditions
of other civilisations. Cultural and heritage tourism in Sri Lanka is one of the most
popular types of tourism available in Sri Lanka. Sri Lankan traditional masks are sought
out by tourists, but there is no concrete method to transfer Sri Lankan traditional mask
information to tourists.
The development of a mobile application to transfer Sri Lankan traditional mask
information is proposed by this research. The mobile application is designed to detect
and classify traditional masks using live video footage, for this deep learning is used.
An improved YOLOv5 object detection model is used. This model is developed by
adding a Convolution Block Attention Module.
The improved YOLOv5 model achieves faster detection speed with a negligible tradeoff of accuracy"
