Dataset Versions
v5
2023-06-06 9:45pm
Generated on Jun 6, 2023
516 Total Images
View All Images
Dataset Split
Train Set 100%
516Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 1% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 2% of pixels