Dataset Versions
Versions
v7
2023-08-23 4:44pm
Generated on Aug 23, 2023
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Resize: Stretch to 1024x1024
Modify Classes: 7 remapped, 1 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each