Dataset Versions
v3
white-square-nir
Generated on May 24, 2024
684 Total Images
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Dataset Split
Train Set 94%
644Images
Valid Set 4%
30Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 2000x2000
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -5° and +5°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%