Dataset Groups Activity Stream 3s vs 7s MNIST problem The 3s vs 7s MNIST problem is a classic dataset in machine learning. It consists of 28x28 grayscale images of handwritten digits, with 3s and 7s in the images. BibTex: @dataset{Thomas_Tanay_and_Lewis_Griffin_2024, abstract = {The 3s vs 7s MNIST problem is a classic dataset in machine learning. It consists of 28x28 grayscale images of handwritten digits, with 3s and 7s in the images.}, author = {Thomas Tanay and Lewis Griffin}, doi = {10.57702/iz40w9al}, institution = {No Organization}, keyword = {'Handwritten Digits', 'Image Classification', 'MNIST'}, month = {dec}, publisher = {TIB}, title = {3s vs 7s MNIST problem}, url = {https://service.tib.eu/ldmservice/dataset/3s-vs-7s-mnist-problem}, year = {2024} }
