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The Chula-RBC-12 dataset is a dataset for red blood cell segmentation, overlapping cell separation, and classification, containing 12 types of red blood cells, a total of 706 blood smear images, covering over 20,000 red blood cells. The dataset was collected in 2019 at the Red Cell Disorder Oxidation Research Unit of Chulalongkorn University, using a DS-Fi2-L3 Nikon microscope at 1000× magnification.
