Dataset Versions
v1
2024-01-24 9:24pm
Generated on Jan 24, 2024
342 Total Images
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Dataset Split
Train Set 88%
300Images
Valid Set 6%
20Images
Test Set 6%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
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 -15% and +15%
Exposure: Between -10% and +10%