Dataset Versions
Versions
v1
2023-05-12 4:03pm
Generated on May 12, 2023
389 Total Images
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Dataset Split
Train Set 88%
342Images
Valid Set 8%
31Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 2 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%