Dataset Versions
v2
2023-02-07 11:30pm
Generated on Feb 7, 2023
330 Total Images
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Dataset Split
Train Set 95%
315Images
Valid Set %
0Images
Test Set 5%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -107° and +107°
Brightness: Between -43% and +43%
Noise: Up to 5% of pixels