Dataset Versions
v2
2024-06-25 1:21am
Generated on Jun 25, 2024
1873 Total Images
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Dataset Split
Train Set 94%
1764Images
Valid Set 4%
72Images
Test Set 2%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%