Dataset Versions
v1
2023-07-20 2:59am
Generated on Jul 20, 2023
90 Total Images
View All Images
Dataset Split
Train Set 100%
90Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 34-71% Horizontal Region, 20-76% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -44% and +44%
Blur: Up to 2.25px
Noise: Up to 25% of pixels
Cutout: 25 boxes with 8% size each