Dataset Versions
v4
2024-09-09 8:51pm
Generated on Sep 9, 2024
7855 Total Images
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Dataset Split
Train Set 96%
7518Images
Valid Set 4%
321Images
Test Set 0%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 4 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -10% and +10%
Blur: Up to 1.5px