Dataset Versions
v1
2023-07-07 9:35pm
Generated on Jul 7, 2023
80 Total Images
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Dataset Split
Train Set 75%
60Images
Valid Set 25%
20Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -16° and +16°
Shear: ±7° Horizontal, ±45° Vertical
Hue: Between -54° and +54°
Saturation: Between -71% and +71%
Noise: Up to 2% of pixels
Cutout: 6 boxes with 14% size each