The dataset comprises 750+ Brain MRI images taken from different patients considering whether they have brain stroke or not. The Dataset consists of three subdirectories:

• Normal _ Stroke Patient Details -> This subdirectory consists of 750+ raw Brain MRI images of patients.
• Dataset_MRI_Folder -> This subdirectory consists of 3 more subdirectories called Haemorrhagic, Ischemic and Normal which store the relevant Brain MRI Images.
• Stroke Classification -> This subdirectory is an updated version of Dataset_MRI_Folder as it contains preprocessed MRI scan images without the text over them.

This dataset was created to train an image classification model to detect whether an MRI Image of a human brain consists of Ischemic or Haemorrhagic stroke if present.