Dataset Versions
Versions
v1
2023-04-03 11:22pm
Generated on Apr 3, 2023
5754 Total Images
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Dataset Split
Train Set 87%
5034Images
Valid Set 8%
480Images
Test Set 4%
240Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Shear: ±11° Horizontal, ±21° Vertical
Hue: Between -157° and +157°
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each