MrAnayDongre/BloodCell-Detection-Datatset
This is a dataset of blood cells photos.
Contains 364 images with 4,888 bounding box annotations across three blood cell classes (WBC, RBC, Platelets), pre-split into 70/20/10 train/test/validation sets. Labels are formatted for YOLOv5 object detection, with paired image and annotation files organized by dataset split. Available in raw format or optimized 500x500 exports to support medical imaging model benchmarking.
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Oct 04, 2021
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