Dataset Versions
v4
2024-05-22 2:39pm
Generated on May 22, 2024
124 Total Images
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Dataset Split
Train Set 92%
114Images
Valid Set 8%
10Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 1.6px
Noise: Up to 1.49% of pixels