Dataset Versions
v3
2024-06-06 9:42pm
Generated on Jun 7, 2024
360 Total Images
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Dataset Split
Train Set 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x360
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -20% and +0%
Blur: Up to 1px
Noise: Up to 1.21% of pixels