Dataset Versions
v2
2024-06-04 11:19am
Generated on Jun 4, 2024
295 Total Images
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Dataset Split
Train Set 81%
240Images
Valid Set 14%
40Images
Test Set 5%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels