Dataset Versions
Versions
v2
2022-07-11 12:08pm
Generated on Jul 11, 2022
183 Total Images
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Dataset Split
Train Set 87%
159Images
Valid Set 8%
15Images
Test Set 5%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -8% and +8%
Brightness: Between -9% and +9%
Exposure: Between -7% and +7%
Noise: Up to 5% of pixels