Dataset Versions
v3
2024-07-01 7:20am
Generated on Jul 1, 2024
294 Total Images
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Dataset Split
Train Set 82%
242Images
Valid Set 12%
34Images
Test Set 6%
18Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 2
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels