Dataset Versions
v4
2023-05-31 2:16pm
Generated on May 31, 2023
833 Total Images
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Dataset Split
Train Set 85%
705Images
Valid Set 14%
114Images
Test Set 2%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 8 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px