Dataset Versions
v5
2024-02-01 8:35pm
Generated on Feb 1, 2024
91 Total Images
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Dataset Split
Train Set 92%
84Images
Valid Set 4%
4Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1200x720
Modify Classes: 26 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%