Dataset Versions
v3
2022-07-13 5:02pm
Generated on Jul 13, 2022
1068 Total Images
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Dataset Split
Train Set 87%
927Images
Valid Set 8%
90Images
Test Set 5%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 9 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -19° and +19°
Shear: ±18° Horizontal, ±18° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 5px