Dataset Versions
v8
2024-10-10 6:00am
Generated on Oct 10, 2024
1329 Total Images
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Dataset Split
Train Set 92%
1227Images
Valid Set 6%
77Images
Test Set 2%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between 0% and +20%
Blur: Up to 1.9px
Noise: Up to 0.1% of pixels