by Babak LoniUnknown
by Babak LoniLicense : Unknown
The dataset contains 32398 images distributed in 262 fashion and clothing categories. The dataset is named "Fashion 10.000" because we aimed to have at least 10.000 fashion-related images in the dataset, but we managed to have many more. The dataset comes with a set of annotations that are generated using Amazon Mechanical Turk (AMT) human computation platform. The annotations target 6 different aspects of the images which are obtained by asking 6 questions from AMT workers. The dataset also comes with a rich set of metadata in XSL and CSV formats.