Dataset Groups Activity Stream Classification of the Fashion-MNIST Dataset on a Quantum Computer The Fashion-MNIST dataset is a multiclass classification dataset. It contains 70,000 28x28 grayscale images, with 10 classes. BibTex: @dataset{Kevin_Shen_and_Bernhard_Jobst_and_Elvira_Shishenina_and_Frank_Pollmann_2024, abstract = {The Fashion-MNIST dataset is a multiclass classification dataset. It contains 70,000 28x28 grayscale images, with 10 classes.}, author = {Kevin Shen and Bernhard Jobst and Elvira Shishenina and Frank Pollmann}, doi = {10.57702/kn0hv3fy}, institution = {No Organization}, keyword = {'Fashion-MNIST', 'Multiclass Classification', 'Quantum Machine Learning'}, month = {dec}, publisher = {TIB}, title = {Classification of the Fashion-MNIST Dataset on a Quantum Computer}, url = {https://service.tib.eu/ldmservice/dataset/classification-of-the-fashion-mnist-dataset-on-a-quantum-computer}, year = {2024} }
