Animal shape extension to MNIST dataset - benchmarking and educational purposes
Project description
Animal-Shape is a dataset consisting of 10,000 images of 28x28 grayscale images, mimicking the format of MNIST dataset. There are 10 classes of animals (including Bear, Bird, Cat, Cow, Dog, Elephant, Giraffe, Horse, Sheep, Zebra) each consisting of 1000 pictures. This is intended to serve educational purposes and expand further on the MNIST - fashion MNIST benchmarking system for machine learning algorithms.
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