Classification Dataset
Versions
v1
2024-09-05 8:53am
Generated on Sep 5, 2024
98 Total Images
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Dataset Split
Train Set 89%
87Images
Valid Set 8%
8Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 1.68% of pixels