Dataset Versions
Versions
v1
2024-07-13 7:38pm
Generated on Jul 13, 2024
356 Total Images
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Dataset Split
Train Set 82%
291Images
Valid Set 12%
41Images
Test Set 7%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 1.01% of pixels