Dataset Versions
Versions
v1
2024-07-08 7:38pm
Generated on Jul 8, 2024
2742 Total Images
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Dataset Split
Train Set 96%
2619Images
Valid Set 3%
81Images
Test Set 2%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Grayscale: Apply to 24% of images
Hue: Between -15° and +15°
Saturation: Between -12% and +12%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0px
Noise: Up to 0.1% of pixels