Dataset Versions
v1
2024-05-23 1:56pm
Generated on May 23, 2024
13 Total Images
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Dataset Split
Train Set 92%
12Images
Valid Set 8%
1Images
Test Set %
0Images
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 -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.7px