Dataset Versions
v1
2024-06-28 6:28pm
Generated on Jun 28, 2024
4000 Total Images
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Dataset Split
Train Set 75%
3000Images
Valid Set 10%
400Images
Test Set 15%
600Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 128x128
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%