Dataset Versions
v5
2024-09-05 7:12am
Generated on Sep 5, 2024
351 Total Images
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Dataset Split
Train Set 87%
306Images
Valid Set 9%
31Images
Test Set 4%
14Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Mosaic: Applied