Dataset Versions
Versions
v1
2023-07-04 3:10am
Generated on Jul 3, 2023
9470 Total Images
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Dataset Split
Train Set 87%
8277Images
Valid Set 8%
793Images
Test Set 4%
400Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 227x227
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -40% and +40%
Brightness: Between -40% and +40%
Exposure: Between -20% and +20%
Blur: Up to 1.75px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each