Dataset Versions
v2
2024-11-27 9:47am
Generated on Nov 27, 2024
80 Total Images
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Dataset Split
Train Set 94%
75Images
Valid Set 4%
3Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x480
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 -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
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