Dataset Versions
v2
2024-05-02 1:05am
Generated on May 1, 2024
38 Total Images
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Dataset Split
Train Set 87%
33Images
Valid Set 8%
3Images
Test Set 5%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x800
Modify Classes: 3 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels