Dataset Versions
v3
2024-11-24 12:10am
Generated on Nov 23, 2024
140 Total Images
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Dataset Split
Train Set 92%
129Images
Valid Set 6%
8Images
Test Set 2%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 160x160
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels