Metadata-Version: 2.4
Name: animal_mnist
Version: 0.4
Summary: Animal silhouette extension to MNIST - benchmarking dataset
Author-email: Sina Mohammadi <mohammadi.sina.q8@dc.tohoku.ac.jp>
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: tensorflow
Requires-Dist: pandas
Dynamic: license-file

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.
