Dataset Versions
v4
2024-11-19 2:57pm
Generated on Nov 19, 2024
153 Total Images
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Dataset Split
Train Set 92%
140Images
Valid Set 8%
13Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 320x240
Augmentations
Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Blur: Up to 1.3px
Noise: Up to 1.92% of pixels