Reverse Image Search for the Fashion Industry Using Convolutional Neural Networks
A.I. is becoming a hot topic in the rapidly developing digital world of today. Its applications are extensive and ever yet further growing as our understanding of it increases. Reverse image search is another interesting upcoming topic, of which its applications make our lives significantly easier in a number of business sectors and even in our day to day lives. Its implementation is when instead of text, pictures are used as search input, and similar images are returned as the result to help users of a system easier find what they are looking for. In this paper we trained our own Convolutional Neural Network(CNN) and designed an image search engine for use in the fashion industry.
2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP)