Dataset Versions
v2
2024-11-15 6:45pm
Generated on Nov 15, 2024
257 Total Images
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Dataset Split
Train Set 88%
225Images
Valid Set 9%
22Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x340
Augmentations
Outputs per training example: 3
Hue: Between -45° and +45°
Saturation: Between -43% and +43%
Brightness: Between -44% and +44%
Exposure: Between -24% and +24%
Blur: Up to 2.9px
Noise: Up to 1.33% of pixels