Dataset Versions
v3
2024-09-19 5:26pm
Generated on Sep 19, 2024
14498 Total Images
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Dataset Split
Train Set 89%
12906Images
Valid Set 8%
1144Images
Test Set 3%
448Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Shear: ±13° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -19% and +19%
Exposure: Between -12% and +12%
Blur: Up to 4.1px
Noise: Up to 1.96% of pixels