Dataset Versions
v3
2023-07-26 6:48pm
Generated on Jul 26, 2023
1188 Total Images
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Dataset Split
Train Set 97%
1152Images
Valid Set 3%
35Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 10 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Shear: ±5° Horizontal, ±12° Vertical
Grayscale: Apply to 3% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels