An Approach in Ranking Photos

Volume 20 No 5 (2022)

P Venkateshwarlu, Dr. B.Manjula

DOI: 10.14704/nq.2022.20.5.NQ22500

Abstract

In the present era of ranking images is a key point where the images are ranked based on the features such as (Dullness,Whiteness, Average Pixel Width, Dominant RGB, Average RGB, Dimensions of the image and Blurrness) using which scores and ranks are generated for each of the images. And further a survey is being conducted with a random selection of people from distinct fields of work for obtaining ranking manually are further compared with the proposed algorithm generate ranks and evaluated using Kendall rank correlation technique and shown that the proposed results correlate

Keywords

: Machine Learning, ImageNet, CIFAR-10, TensorFlow, Dullness, Whiteness, Average Pixel Width, Dominant RGB, Average RGB, Dimensions of the image, Blurrness

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