Dataset Versions
v5
2024-09-21 5:38pm
Generated on Sep 21, 2024
400 Total Images
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Dataset Split
Train Set 88%
352Images
Valid Set 12%
48Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require at least 99% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%