Dataset Versions
v1
2024-02-21 7:36pm
Generated on Feb 21, 2024
188 Total Images
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Dataset Split
Train Set 94%
177Images
Valid Set 2%
4Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels