Dataset Versions
v1
2024-10-22 8:02am
Generated on Oct 22, 2024
653 Total Images
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Dataset Split
Train Set 92%
603Images
Valid Set 8%
50Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%