IDENTIFICATION OF MONUMENTS FROM AERIAL IMAGES USING DEEP LEARNING TECHNIQUES

Abstract

In the continuous development of object detection technology, various deep learning models with high accuracy and speed have been used to detect the various things such as cars, buildings, planes, etc. The aims of this paper to establish a real-time monuments identification from UAVs that can help archaeological surveys and researchers. Project focuses on the implementation of popular object detection algorithms VGG-16 and YOLOv5 and compares the speed, accuracy, and performance of both algorithms, and finds the best fit for real-time detection from an aerial view. Ultimately, increased the surveys with low cost, generation of large accurate UAV data in less time followed by better quality and supply that meets the researcher’s demand.