Dataset Versions
v1
2022-10-07 10:13am
Generated on Oct 7, 2022
72 Total Images
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Dataset Split
Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels