Dataset Versions
Versions
v1
2023-11-03 1:11pm
Generated on Nov 3, 2023
353 Total Images
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Dataset Split
Train Set 88%
309Images
Valid Set 8%
29Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Rotation: Between -18° and +18°
Shear: ±11° Horizontal, ±11° Vertical
Brightness: Between -54% and +54%
Exposure: Between -16% and +16%
Blur: Up to 2.5px
Noise: Up to 15% of pixels