Dataset Versions
v3
2024-11-18 7:09pm
Generated on Nov 18, 2024
207 Total Images
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Dataset Split
Train Set 98%
203Images
Valid Set 2%
4Images
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
Grayscale: Apply to 15% of images
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Blur: Up to 1.3px
Noise: Up to 1.92% of pixels