Dataset Versions
v1
2022-02-26 9:21pm
Generated on Feb 26, 2022
4040 Total Images
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Dataset Split
Train Set 92%
3729Images
Valid Set 8%
311Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 128x128
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels