Smithsonian.com/ Emily Matchar/ May 3, 2018
AÂ fashion designer working on a new collection has an idea, but wonders if itâ€™s been done before. Another is looking for historical inspirationâ€”1950s-style wasp waists or 80s-era padded shoulders.
Soon, they might turn to Cognitive Prints for help. The suite of AI tools IBM is developing for the fashion industry can take a photo of a dress or a shirt and search for similar garments. It can search for images with specific elementsâ€”Mandarin collars, for example, or gladiator laces, or fleur-de-lis prints. It can also design patterns itself, based on any image data set a user inputsâ€”architectural images, amoebas, sunsets.
â€śFashion designers arduously put in efforts and time in coming up with new designs which could potentially be trend-setters,â€ť says Priyanka Agrawal, a research scientist at IBM Research India, who has worked on Cognitive Prints. â€śAdditionally, they have inspirations like architecture or technology, which they aspire to translate into their work. However, it becomes difficult to do something novel and interesting every single time. We wanted to make it easier for them by augmenting the design lifecycle.
Read more here.