Dataset Versions
v6
ver11
Generated on Aug 17, 2024
344 Total Images
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Dataset Split
Train Set 76%
260Images
Valid Set 12%
42Images
Test Set 12%
42Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 2
Rotation: Between -7° and +7°
Brightness: Between -10% and +10%