Dataset Versions
v2
2023-10-18 9:52pm
Generated on Oct 18, 2023
1563 Total Images
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Dataset Split
Train Set 88%
1368Images
Valid Set 8%
130Images
Test Set 4%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels