Dataset Versions
Versions
v1
2024-03-05 10:23am
Generated on Mar 5, 2024
3801 Total Images
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Dataset Split
Train Set 88%
3336Images
Valid Set 8%
312Images
Test Set 4%
153Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels