Dataset Versions
Versions
v1
2022-12-25 10:30pm
Generated on Dec 26, 2022
23312 Total Images
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Dataset Split
Train Set 87%
20397Images
Valid Set 8%
1944Images
Test Set 4%
971Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±19° Horizontal, ±16° Vertical
Brightness: Between -29% and +29%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 9% of pixels
Cutout: 10 boxes with 6% size each