Dataset Versions
Versions
v1
2024-07-12 11:26am
Generated on Jul 12, 2024
360 Total Images
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Dataset Split
Train Set 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Noise: Up to 0.1% of pixels