Dataset Versions
v4
2024-11-14 1:13pm
Generated on Nov 14, 2024
243 Total Images
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Dataset Split
Train Set 94%
228Images
Valid Set 4%
10Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±5° Horizontal, ±6° Vertical
Saturation: Between -50% and +50%
Brightness: Between -41% and +41%
Blur: Up to 1.8px
Noise: Up to 1.96% of pixels