Dataset Versions
v1
2024-11-11 7:52am
Generated on Nov 11, 2024
1053 Total Images
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Dataset Split
Train Set 87%
921Images
Valid Set 8%
88Images
Test Set 4%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 0.1% of pixels