Turning Healthcare Data into Innovative Solutions. Raabin brings together medical expertise, real-world health data, researchers, engineers, and technology teams to create new opportunities for research, artificial intelligence, software, medical devices, and healthcare innovation. Our mission is to build an open and collaborative ecosystem where valuable health data can become the foundation for meaningful solutions.
Currently, there is a possibility for presenting more than 40,000 images of 5 types of white blood cells (including neutrophil, eosinophil, basophil, lymphocyte, and monocyte) to the researchers free of charge (for the commercial and non-commercial projects). Also we address a new method for the classification of white blood cells (WBCs) using image processing techniques and machine learning methods.
Download HereGithub CodeIf you utilized the ground truth data, in addition to the dataset paper, you should cite the following paper: Sajad Tavakoli et al. New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images
Currently, there is a possibility for presenting more than 10,000 images of 4 types of leukemia.
Download HereRaabin Data www.raabindata.com

Associate Professor, Machine Learning and Robotics Group, University of Tehran.
“Raabin-WBC is a valuable contribution to medical image analysis and AI research, providing researchers with accessible and high-quality blood cell image data. More importantly, Raabin is now moving beyond a dataset toward building an ecosystem connecting health data, artificial intelligence, research, and practical diagnostic solutions. I believe this direction has significant potential to support innovative and locally relevant healthcare technologies.”