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The Animal Image Classification Dataset is a collection of images tailored for the development and evaluation of machine learning models and deep learning in the field of computer vision. It contains 1950 JPG images, carefully segmented into fifteen(15) classes representing animal and birds: cats, dogs, lion, elephant, etc.