Dataset Versions
v1
2024-09-14 10:08am
Generated on Sep 14, 2024
1950 Total Images
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Dataset Split
Train Set 92%
1800Images
Valid Set 8%
150Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±8° Vertical
Brightness: Between -46% and +46%
Blur: Up to 1.9px
Noise: Up to 0.22% of pixels