Dataset Versions
v1
2024-05-06 6:46am
Generated on May 6, 2024
19074 Total Images
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Dataset Split
Train Set 94%
17916Images
Valid Set 3%
589Images
Test Set 3%
569Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -11% and +11%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.76% of pixels