Dataset Versions
v3
2024-10-12 5:39am
Generated on Oct 12, 2024
117 Total Images
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Dataset Split
Train Set 87%
102Images
Valid Set 9%
11Images
Test Set 3%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Noise: Up to 0.1% of pixels