Dataset Versions
v4
2024-11-01 12:55pm
Generated on Nov 1, 2024
1619 Total Images
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Dataset Split
Train Set 74%
1200Images
Valid Set 26%
419Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Shear: ±15° Horizontal, ±10° Vertical
Hue: Between -8° and +8°
Saturation: Between -4% and +4%
Blur: Up to 0.9px
Cutout: 3 boxes with 7% size each