This dataset contains MRI images categorized into different classes representing various brain conditions, including healthy and tumorous states. The dataset is designed for training and testing deep learning models for medical imaging classification tasks.
The dataset has been preprocessed and structured into subfolders for training and testing purposes. Each subfolder represents a specific class. Data augmentation techniques such as brightness and contrast adjustments are applied during training to improve model generalizability.
Intended Use:
The dataset is suitable for building and evaluating machine learning models for tasks related to brain MRI image classification. It is particularly useful for experiments in deep learning applications in healthcare, such as tumor detection and diagnosis.
Dataset Structure:
Training Set: Subfolders for each class containing MRI images for model training.
Testing Set: Subfolders for each class containing MRI images for model evaluation.
Data …
