Dataset Versions
v2
2023-08-27 11:45pm
Generated on Aug 27, 2023
308 Total Images
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Dataset Split
Train Set 93%
285Images
Valid Set 6%
20Images
Test Set 1%
3Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -34° and +34°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -31% and +31%
Blur: Up to 2.5px
Noise: Up to 5% of pixels