Dataset Versions
v2
2024-01-25 10:09am
Generated on Jan 25, 2024
57 Total Images
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Dataset Split
Train Set 84%
48Images
Valid Set 9%
5Images
Test Set 7%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -14° and +14°
Saturation: Between -25% and +25%
Brightness: Between -3% and +3%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels