Dataset Versions
v1
2024-03-07 11:42pm
Generated on Mar 7, 2024
235 Total Images
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Dataset Split
Train Set 94%
222Images
Valid Set 4%
10Images
Test Set 1%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 2% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -10° and +10°
Hue: Between -19° and +19°
Saturation: Between -45% and +45%
Blur: Up to 1.6px
Noise: Up to 0.65% of pixels