Dataset Versions
v1
2024-10-17 6:49am
Generated on Oct 17, 2024
15714 Total Images
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Dataset Split
Train Set 92%
14508Images
Valid Set 4%
601Images
Test Set 4%
605Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each