Brand Detection System using Deep Learning

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Abstract

In this paper a method of recognizing logos of the brand of cosmetic products using deep learning. There are several of hoax product which easily copies the famous brand’s logo and deteriorates the company’s image. The machine learning has proved to be useful in various of the fields like medical, object detection, vehicle logo recognitions. But till now very few of the works have been performed in cosmetic field. This field is covered using the model sequential convolutional neural network using Tensorflow and Keras. For the visual representation of the result Tensorboard is used. Work have been started with two of the brands-Lakme and L’Oreal. Depending upon the success of this technique, further brands for logo may be added for recognition. The accuracy of approximately 80% was obtained using this technique.

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Singh*, S., Dubey, S., … Kumar, Dr. R. (2020). Brand Detection System using Deep Learning. International Journal of Innovative Technology and Exploring Engineering, 9(9), 497–500. https://doi.org/10.35940/ijitee.i7630.079920

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