Dataset Versions
Versions
v1
2024-10-28 7:49pm
Generated on Oct 28, 2024
5752 Total Images
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Dataset Split
Train Set 94%
5433Images
Valid Set 4%
213Images
Test Set 2%
106Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.13% of pixels