microscopic biological image

This dataset was prepared to aid in the creation of a machine learning algorithm that would classify the white blood cells in thin blood smears of juvenile Visayan warty pigs. The creation of this dataset was deemed imperative because of the limited availability of blood smear images collected from the critically endangered species on the internet. The dataset contains 3,457 images of various types of white blood cells (JPEG) with accompanying cell type labels (XLSX).

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MCAD contains 5 seen classed and 68939 cell samples, and the unseen class contains 6 categories and 32679 cell samples. Seen class samples are collected from fecal microscopic images, while unseen class samples are collected from leucorrhea microscopic images. 

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