Brain Tumor Detection Image Dataset
v2
Generation 2
Generated on May 25, 2022
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
9900 Total Images
View All Images
Dataset Split
Train Set 70%
6930Images
Valid Set 20%
1980Images
Test Set 10%
990Images
Preprocessing
Static Crop: 24-82% Horizontal Region, 22-77% Vertical Region
Augmentations
No augmentations were applied.
Similar Projects
label0-label1-label2-background
24422 images
brain-tumor
9900 images
Tomores
8281 images
brain-cancer
2484 images
Augmenting-Brain-tumor-images
7421 images