Dataset Versions
v2
2024-11-18 6:49pm
Generated on Nov 18, 2024
219 Total Images
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Dataset Split
Train Set 99%
217Images
Valid Set 1%
2Images
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