Dataset Versions
Versions
v1
2023-10-06 8:58pm
Generated on Oct 6, 2023
2381 Total Images
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Dataset Split
Train Set 92%
2199Images
Valid Set 6%
131Images
Test Set 2%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Noise: Up to 9% of pixels
Mosaic: Applied