Dataset Versions
Versions
v2
2024-06-05 7:32pm
Generated on Jun 5, 2024
1619 Total Images
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Dataset Split
Train Set 87%
1416Images
Valid Set 8%
135Images
Test Set 4%
68Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 0.7px