Dataset Versions
v3
2024-10-07 1:40pm
Generated on Oct 7, 2024
3685 Total Images
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Dataset Split
Train Set 92%
3399Images
Valid Set 4%
143Images
Test Set 4%
143Images
Preprocessing
Auto-Orient: Applied
Static Crop: 33-68% Horizontal Region, 21-73% Vertical Region
Resize: Stretch to 480x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Blur: Up to 2px
Noise: Up to 0.65% of pixels
Cutout: 3 boxes with 10% size each