Dataset Versions
v1
2024-07-18 7:53pm
Generated on Jul 18, 2024
315 Total Images
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Dataset Split
Train Set 88%
276Images
Valid Set 8%
26Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.25% of pixels