Dataset Versions
v5
2024-10-01 10:08am
Generated on Oct 1, 2024
136448 Total Images
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Dataset Split
Train Set 95%
129280Images
Valid Set 3%
3952Images
Test Set 2%
3216Images
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: 4 rows x 4 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%
Cutout: 2 boxes with 10% size each