MRI for Brain Tumor with Bounding Boxes
MRI for Brain Tumor with Bounding Boxes
Datasets
MRI for Brain Tumor with Bounding Boxes
File
MRI for Brain Tumor with Bounding Boxes
Use Case
MRI for Brain Tumor with Bounding Boxes
Description
Access our high-quality brain tumor detection dataset, featuring 5,249 meticulously annotated MRI images. Ideal for developing and evaluating machine learning models with comprehensive coverage of brain anatomy from various MRI scan angles.
Description:
This dataset comprises high-quality MRI images of brain tumors, meticulously curated and annotated to support the development and evaluation of machine learning models for brain tumor detection and classification.
Download Dataset
he dataset includes a total of 5,249 MRI images, divided into training and validation sets. Each image is annotated with bounding boxes in YOLO format and labeled according to one of the four classes of brain tumors.
Image Characteristics
The MRI images are captured from various angles, including sagittal, axial, and coronal views. This variety ensures a comprehensive coverage of brain anatomy, enhancing the robustness of models trained with this dataset.
Annotations
A dedicated team manually annotated the bounding boxes using the LabelImg tool. This rigorous annotation process ensures high accuracy and reliability, making the dataset a valuable resource for brain tumor detection research.
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