Dataset Versions
v2
2023-08-23 12:43pm
Generated on Aug 23, 2023
589 Total Images
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Dataset Split
Train Set 92%
543Images
Valid Set 8%
46Images
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
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±16° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 16% size each