Dataset Versions
v1
2024-10-03 8:56am
Generated on Oct 3, 2024
1148 Total Images
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Dataset Split
Train Set 88%
1005Images
Valid Set 8%
95Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.6px
Noise: Up to 1.33% of pixels