A study on content-based image retrieval for fashion

Fashion image retrieval is a field that focuses on the extraction of relevant information from images related to fashion. This process involves using computer algorithms and techniques to analyze images and extract specific features such as color, texture, shape, and pattern. Fashion image retrieval aims to provide users with a more efficient and accurate way of searching for and identifying fashion-related images. This technology has the potential to revolutionize the fashion industry by streamlining the process of image search and helping to identify emerging trends and patterns. Fashion image retrieval is an exciting and rapidly evolving field that has the potential to transform the way we think about fashion and image search. This project will delve deep into Triplet Networks' usage for such a task while considering generating a pipeline to perform Fashion image retrieval.