Dataset Versions
v1
2024-01-07 1:51pm
Generated on Jan 7, 2024
65 Total Images
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Dataset Split
Train Set 88%
57Images
Valid Set 8%
5Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels