Dataset Versions
v4
2024-04-30 12:26pm
Generated on Apr 30, 2024
549 Total Images
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Dataset Split
Train Set 87%
480Images
Valid Set 8%
46Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels