Dataset Versions
v1
2024-10-07 1:26pm
Generated on Oct 7, 2024
14716 Total Images
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Dataset Split
Train Set 92%
13560Images
Valid Set %
0Images
Test Set 8%
1156Images
Preprocessing
Auto-Orient: Applied
Static Crop: 39-75% Horizontal Region, 25-67% Vertical Region
Resize: Stretch to 384x384
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
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 -10% and +10%
Blur: Up to 1px
Noise: Up to 0.65% of pixels
Cutout: 3 boxes with 10% size each