Dataset Versions
Versions
v1
2024-08-02 10:37pm
Generated on Aug 2, 2024
82 Total Images
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Dataset Split
Train Set 88%
72Images
Valid Set 9%
7Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels