Dataset Versions
v3
2024-02-08 12:56pm
Generated on Feb 8, 2024
2865 Total Images
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Dataset Split
Train Set 94%
2700Images
Valid Set 4%
115Images
Test Set 2%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 1.4px
Noise: Up to 1.92% of pixels