Dataset Versions
v2
2023-12-04 10:42am
Generated on Dec 4, 2023
102 Total Images
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Dataset Split
Train Set 88%
90Images
Valid Set 8%
8Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -24° and +24°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 49% of images
Brightness: Between 0% and +50%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels