Dataset Versions
v3
2023-06-07 10:21am
Generated on Jun 7, 2023
492 Total Images
View All Images
Dataset Split
Train Set 100%
492Images
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
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels