Chest Diseases Detection Image Dataset
v3
2022-11-16 9:57am
Generated on Nov 16, 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.
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3948 Total Images
View All Images
Dataset Split
Train Set 88%
3456Images
Valid Set 8%
332Images
Test Set 4%
160Images
Preprocessing
Auto-Orient: Applied
Static Crop: 3-95% Horizontal Region, 4-98% Vertical Region
Resize: Fill (with center crop) in 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Exposure: Between -28% and +28%
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -31% and +31%
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