Dataset Versions
v1
2023-06-06 9:33pm
Generated on Jun 6, 2023
774 Total Images
View All Images
Dataset Split
Train Set 100%
774Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 224x224
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: ±21° Horizontal, ±21° Vertical
Grayscale: Apply to 8% of images
Hue: Between -5° and +5°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 2 boxes with 10% size each
