Dataset Versions
Versions
v1
2024-11-26 12:34am
Generated on Nov 25, 2024
852 Total Images
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Dataset Split
Train Set 92%
786Images
Valid Set %
0Images
Test Set 8%
66Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 600x600
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%