Dataset Versions
v1
2024-07-20 9:19am
Generated on Jul 20, 2024
890 Total Images
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Dataset Split
Train Set 91%
810Images
Valid Set 6%
52Images
Test Set 3%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.01% of pixels