Dataset Versions
v1
2024-06-24 1:19pm
Generated on Jun 24, 2024
231 Total Images
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Dataset Split
Train Set 92%
213Images
Valid Set 8%
18Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 650x650
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels