Dataset Versions
v3
2024-09-27 2:53pm
Generated on Sep 27, 2024
153 Total Images
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Dataset Split
Train Set 88%
135Images
Valid Set 8%
13Images
Test Set 3%
5Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels