Dataset Versions
v2
2024-11-06 2:24am
Generated on Nov 6, 2024
5344 Total Images
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Dataset Split
Train Set 92%
4932Images
Valid Set 8%
412Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±13° Horizontal, ±13° Vertical
Blur: Up to 1.3px
Noise: Up to 0.14% of pixels