Dataset Versions
v2
2023-03-10 7:38pm
Generated on Mar 10, 2023
633 Total Images
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Dataset Split
Train Set 100%
633Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±16° Horizontal, ±18° Vertical
Brightness: Between -17% and +17%
Exposure: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 1% of pixels