Dataset Versions
v2
2024-09-21 5:33pm
Generated on Sep 21, 2024
1906 Total Images
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Dataset Split
Train Set 97%
1850Images
Valid Set 3%
56Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require at least 99% of images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%