Data Augmentation Dataset
v2
2024-05-02 2:14pm
Generated on May 2, 2024
3 Total Images
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Dataset Split
Train Set 100%
3Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 32x32
Augmentations
Outputs per training example: 3
90° Rotate: Counter-Clockwise
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 1.5px
Noise: Up to 2.12% of pixels
Cutout: 5 boxes with 10% size each