Dataset Versions
Versions
v1
2025-01-05 2:28pm
Generated on Jan 5, 2025
534 Total Images
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Dataset Split
Train Set 92%
492Images
Valid Set 8%
42Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels