Dataset Versions
v1
2024-09-19 5:10pm
Generated on Sep 19, 2024
15466 Total Images
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Dataset Split
Train Set 93%
14358Images
Valid Set 5%
806Images
Test Set 2%
302Images
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
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