Dataset Versions
v4
2023-06-20 12:21pm
Generated on Jun 20, 2023
1440 Total Images
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Dataset Split
Train Set 88%
1260Images
Valid Set 8%
120Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels