Fashion-MNIST
Fashion-MNIST is a variant of the original MNIST dataset, designed to benchmark machine learning algorithms for fashion-related tasks. It consists of 60,000 grayscale images of fashion items, such as clothes, shoes, and accessories, across ten categories. Each image is 28×28 pixels in size, similar to the MNIST digits dataset. Fashion-MNIST provides a more challenging task compared to MNIST and is often used to evaluate the performance of deep learning models for fashion image recognition and classification tasks.
Dataset for Deep Learning
A dataset is a set of data that is employed to teach deep learning models. The scale, intricacy, or scope of these data sets may differ greatly depending on what exactly you’re attempting to achieve in terms of deep learning tasks or problems at hand.
In this article, we’ll dive into the concept of DeepLearning Dataset, and various types of datasets.