Dataset Versions
Versions
v1
2024-05-13 8:27pm
Generated on May 13, 2024
99 Total Images
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Dataset Split
Train Set 88%
87Images
Valid Set 8%
8Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels