Dataset Versions
v2
2023-06-07 8:13am
Generated on Jun 7, 2023
330 Total Images
View All Images
Dataset Split
Train Set 100%
330Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±18° Horizontal, ±18° Vertical
Hue: Between -10° and +10°
Saturation: Between -16% and +16%
Brightness: Between -20% and +20%
Exposure: Between -8% and +8%
Blur: Up to 1.5px
Noise: Up to 1% of pixels