Dataset Versions
v2
2024-04-09 2:33pm
Generated on Apr 9, 2024
322 Total Images
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Dataset Split
Train Set 88%
282Images
Valid Set 8%
27Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Hue: Between -19° and +19°
Saturation: Between -31% and +31%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 3.3px
Noise: Up to 1.65% of pixels