Dataset Versions
v4
2024-07-11 9:11pm
Generated on Jul 11, 2024
875 Total Images
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Dataset Split
Train Set 87%
765Images
Valid Set 8%
72Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.01% of pixels