Dataset Versions
Versions
v1
2023-02-20 9:42am
Generated on Feb 20, 2023
529 Total Images
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Dataset Split
Train Set 96%
507Images
Valid Set 3%
18Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±3° Horizontal, ±6° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 5% of pixels