Dataset Versions
v1
2022-11-07 12:35pm
Generated on Nov 7, 2022
983 Total Images
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Dataset Split
Train Set 96%
948Images
Valid Set %
0Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 112x96
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 14 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%