Dataset Versions
v3
Just Once
Generated on Sep 25, 2024
27876 Total Images
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Dataset Split
Train Set 95%
26580Images
Valid Set 2%
656Images
Test Set 2%
640Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels