Dataset Versions
v4
2024-07-22 6:06pm
Generated on Jul 22, 2024
442 Total Images
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Dataset Split
Train Set 92%
408Images
Valid Set 4%
17Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 3 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels