Tour buddy (monument detection using yolo)
No Thumbnail Available
Date
2021-05
Journal Title
Journal ISSN
Volume Title
Publisher
AIKTC
Abstract
In this paper, we have classified the famous Indian Monuments as India is 7th
largest country which has large number of monuments and Historic places where
millions of tourists are visits everyday but it is not possible everyone knows everything
about those monuments.The paper proposes an approach for classification of various
monuments based on the features of the monument images .A well known
Convolutional neural network (CNN) Algorithm and YOLO has been adopted to
provide on-time and striking accuracies for classifying the Monument images.The
Darknet library YOLO has been used for all the training computations as YOLO is a
clever convolutional neural network (CNN) for doing object recognition in realtime.
The algorithm applies a single neural network to the full image, and then divides
the image into multiple regions and predicts bounding boxes and probabilities for
each region.After the models gets trained the overall accuracy achieved is 98,Using
CNN and YOLO , for a total 20 different monuments that have been considered in the
dataset for classifications.
Index Terms—YOLO, Convolutional Neural Network ,Deep Learning,
Machine Learning , Image recognition .
Description
Keywords
Project Report - CO