Dataset Versions
Versions
v1
2023-01-23 2:39pm
Generated on Jan 23, 2023
3339 Total Images
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Dataset Split
Train Set 88%
2925Images
Valid Set 8%
274Images
Test Set 4%
140Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels