Dataset Versions
v3
2024-12-05 1:11pm
Generated on Dec 5, 2024
175 Total Images
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Dataset Split
Train Set 93%
162Images
Valid Set 4%
7Images
Test Set 3%
6Images
Preprocessing
Auto-Orient: Applied
Static Crop: 40-85% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 640x480
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1% of pixels