Dataset Versions
Versions
v1
2024-06-06 6:29pm
Generated on Jun 6, 2024
3239 Total Images
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Dataset Split
Train Set 41%
1335Images
Valid Set 39%
1269Images
Test Set 20%
635Images
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 -7° and +7°
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -2% and +2%
Blur: Up to 0.4px
Noise: Up to 0.1% of pixels