Open AccessImage Classification using CNN and Machine Learning
Author(s) -
G. Devipriya,
E. Chandana,
B Prathyusha .,
T. Chakravarthy
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit195298
Subject(s) - artificial intelligence , computer science , classifier (uml) , pattern recognition (psychology) , training set , contextual image classification , image (mathematics) , machine learning , set (abstract data type) , upload , computer vision , programming language , operating system
Here by in this paper we are interested for classification of Images and Recognition. We expose the performance of training models by using a classifier algorithm and an API that contains set of images where we need to compare the uploaded image with the set of images available in the data set that we have taken. After identifying its respective category the image need to be placed in it. In order to classify images we are using a machine learning algorithm that comparing and placing the images.