Dataset Versions
v5
2023-07-05 5:12pm
Generated on Jul 5, 2023
18250 Total Images
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Dataset Split
Train Set 75%
13686Images
Valid Set 25%
4562Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Rotation: Between -35° and +35°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -28° and +28°
Blur: Up to 2.5px
Noise: Up to 7% of pixels
Cutout: 17 boxes with 10% size each