Dataset Versions
v4
2024-11-08 3:27am
Generated on Nov 8, 2024
86 Total Images
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Dataset Split
Train Set 87%
75Images
Valid Set 8%
7Images
Test Set 5%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -7° and +7°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels
