Dataset Versions
Versions
v1
2024-04-08 12:00pm
Generated on Apr 8, 2024
1287 Total Images
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Dataset Split
Train Set 87%
1125Images
Valid Set 8%
108Images
Test Set 4%
54Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -9% and +9%
Noise: Up to 0.06% of pixels