Dataset Versions

v7

2023-03-17 12:53pm

Generated on Mar 17, 2023

Dataset Split

Train Set 48%
948Images
Valid Set %
0Images
Test Set 2%
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%

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