Dataset Versions
v2
2024-06-27 3:08pm
Generated on Jun 27, 2024
18387 Total Images
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Dataset Split
Train Set 94%
17370Images
Valid Set 6%
1017Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Blur: Up to 2px