Dataset Versions
v2
2023-09-17 11:10pm
Generated on Sep 17, 2023
3596 Total Images
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Dataset Split
Train Set 86%
3075Images
Valid Set 13%
470Images
Test Set 1%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.5px