Dataset Versions
v3
2024-09-23 3:21am
Generated on Sep 23, 2024
4719 Total Images
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Dataset Split
Train Set 92%
4356Images
Valid Set 8%
363Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 40-100% Horizontal Region, 40-100% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels