Dataset Versions
v2
2023-05-11 10:08am
Generated on May 11, 2023
2145 Total Images
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Dataset Split
Train Set 95%
2043Images
Valid Set 4%
78Images
Test Set 1%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x1000
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 4 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Mosaic: Applied