Dataset Versions
v2
2024-11-19 11:42pm
Generated on Nov 19, 2024
72 Total Images
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Dataset Split
Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels