Dataset Versions
v1
2024-02-05 11:04am
Generated on Feb 5, 2024
11 Total Images
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Dataset Split
Train Set 82%
9Images
Valid Set 9%
1Images
Test Set 9%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Cutout: 3 boxes with 10% size each