Dataset Versions
v21
detection
Generated on May 29, 2023
3644 Total Images
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Dataset Split
Train Set 87%
3183Images
Valid Set 13%
461Images
Test Set %
0Images
Preprocessing
Modify Classes: 2 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels