Dataset Versions
v3
2024-02-08 10:56pm
Generated on Feb 9, 2024
340 Total Images
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Dataset Split
Train Set 91%
310Images
Valid Set 6%
20Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.8px
Noise: Up to 0.93% of pixels