The datasets on this list use a similar format as the original and many of them were created as drop-in replacements for the original MNIST. This list includes both replacements for the original MNIST dataset images and reformattings of the original, such as the MNIST dataset CSV.
Why is the MNIST Dataset so Widely Used?
Many data scientists consider the MNIST dataset (Modified National Institute of Standards and Technology database) to be one of the benchmark datasets for machine learning. Partly due to its small size and ease-of-use, it is often one of the first datasets that data scientists work with. Furthermore, many use it to compare different machine learning algorithms and test their performance capabilities.
The dataset contains 60,000 MNIST dataset images of handwritten digits for training and 10,000 images for testing. As a benchmark in machine learning, it has inspired others to create datasets in a similar style.
MNIST Reformattings, Extensions, and Modifications
1. EMNIST – Extended MNIST (EMNIST) is a series of 6 datasets created from the original NIST Database. While the original dataset includes only handwritten digits, EMNIST uses the same conversion process on the handwritten letters portion of the NIST database.
2. MNIST as JPG – As the title suggests, this is a reformatting of the original dataset. Instead of a string format, the files are in a strictly image format, consisting of JPEGS.
3. MNIST in CSV – The MNSIT Dataset CSV is a simple reformatting of the original into a more easily-accessible CSV file.
Datasets for Machine Learning Inspired by MNIST
4. 3D MNIST – The creator of this dataset aimed to provide a resource for those working with 3D computer vision problems. The dataset was formed by generating 3D point clouds from the original MNIST images. There are 5000 training and 1000 testing point clouds included.
5. Fashion MNIST – From Zalando Research, this dataset contains clothing and accessory images from Zalando’s product catalogue. The format follows the original MNIST. Therefore, it contains 60,000 training images and 10,000 images for testing. Furthermore, the images are all 28×28 pixels and in grayscale. Each image has one of the following labels: ankle boot, bag, coat, dress, pullover, sandal, shirt, sneaker, T-shirt/top, and trouser.
6. Sign Language MNIST – A drop-in MNIST replacement, this dataset was created to help train hand gesture recognition models. This dataset closely matches the format of the original MNIST. Furthermore, the aforementioned Fashion MNIST inspired its creation.
8. Skin Cancer MNIST: HAM10000 – The Skin Cancer MNIST medical image dataset contains 10,015 dermatoscopic images of skin lesions. It was created for the ISIC 2018 challenge: Skin Lesion Analysis Towards Melanoma Detection.
For more info and access to the original MNIST database, please visit the creator’s website. For more datasets and reading on OCR and handwritten data, please see our related resources below.
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