You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Fashion-MNIST is based on the assortment on Zalando’s website222Zalando is the Europe’s largest online fashion platform. http://www.zalando.com. Every fashion product on Zalando has a set of pictures shot by professional photographers, demonstrating different aspects of the product, i.e. front and back looks, details, looks with model and in an outfit. The original picture has a light-gray background (hexadecimal color: #fdfdfd) and stored in 762\times 1000 JPEG format. For efficiently serving different frontend components, the original picture is resampled with multiple resolutions, e.g. large, medium, small, thumbnail and tiny. Finally, the dataset is divided into a training and a test set. The training set receives a randomly-selected 6,000 examples from each class. Images and labels are stored in the same file format as the MNIST data set, which is designed for storing vectors and multidimensional matrices. The result files are listed in Table 1. We sort examples by their labels while storing, resulting in smaller label files after compression comparing to the MNIST. It is also easier to retrieve examples with a certain class label. The data shuffling job is therefore left to the algorithm developer.

Question: How does the performance of ML algorithms on the FashionMNIST dataset compare to those on real world fashion images?
Images and labels are stored in the same file format as the MNIST data set, which is designed for storing vectors and multidimensional matrices. The original picture has a light-gray background (hexadecimal color: #fdfdfd) and is stored in 762 imes 1000 JPEG format.