Dataset Versions
v1
2024-02-10 12:33pm
Generated on Feb 10, 2024
99 Total Images
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Dataset Split
Train Set 94%
93Images
Valid Set 4%
4Images
Test Set 2%
2Images
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 -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -8% and +8%
Blur: Up to 0.7px
Noise: Up to 0.1% of pixels