The full dataset consists of total items: 60,000 for training and 10,000 for testing.
from torchvision import datasets from torchvision.transforms import ToTensor # Download the 10k test dataset test_data = datasets.FashionMNIST( root="data", train=False, download=True, transform=ToTensor() ) Use code with caution. Copied to clipboard 10k zalando.txt
If you are looking for the content of this "10k" set for a project, you can easily load it via popular libraries. For example, using for PyTorch allows you to download and access the images and labels directly: The full dataset consists of total items: 60,000
refers specifically to the test set within the Fashion-MNIST dataset. For example, using for PyTorch allows you to
Each item is a representing one of 10 fashion categories (e.g., T-shirt, Trouser, Sneaker). How to Use the Data
While "10k zalando.txt" strongly suggests a data file, Zalando is also heavily involved in the running community:
: Zalando frequently partners with brands like Saucony and Adidas to host or sponsor 10k races and training clubs.
Отправка заказа. Пожалуйста, подождите ...
Подождите... Кладем товар в корзину
Спасибо за заказ! Мы свяжемся с Вами в ближайшее время
Возникла проблема с отправкой заказа. Пожалуйста, попробуйте еще раз.
Пожалуйста, заполните все поля формы перед отправкой.
Минимальная сумма заказа - 0 руб.