Dataset Versions
v2
2024-04-05 8:38am
Generated on Apr 5, 2024
851 Total Images
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Dataset Split
Train Set 95%
807Images
Valid Set 4%
35Images
Test Set 1%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%