test2 Dataset
v3
2023-11-08 10:23am
Generated on Nov 8, 2023
4851 Total Images
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Dataset Split
Train Set 100%
4851Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -9% and +9%
Blur: Up to 1.75px
Noise: Up to 3% of pixels
Cutout: 6 boxes with 8% size each