Dataset Versions
Versions
v1
2023-04-23 3:23pm
Generated on Apr 23, 2023
13679 Total Images
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Dataset Split
Train Set 90%
12333Images
Valid Set 6%
808Images
Test Set 4%
538Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -16% and +16%
Noise: Up to 1% of pixels