Dataset Versions
Versions
v1
2024-02-03 6:35pm
Generated on Feb 3, 2024
96 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 8%
8Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±0° Horizontal, ±14° Vertical
Saturation: Between -32% and +32%
Exposure: Between -8% and +8%
Blur: Up to 2.3px