Dataset Versions
v1
2024-03-06 9:27pm
Generated on Mar 6, 2024
688 Total Images
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Dataset Split
Train Set 88%
603Images
Valid Set 8%
56Images
Test Set 4%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
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%