Dataset Versions
v2
2024-11-17 1:52pm
Generated on Nov 17, 2024
5332 Total Images
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Dataset Split
Train Set 92%
4923Images
Valid Set 8%
409Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.58% of pixels