Dataset Versions

v11

2023-10-07 12:29am

Generated on Oct 6, 2023

Dataset Split

Train Set 92%
6222Images
Valid Set 6%
395Images
Test Set 3%
182Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Modify Classes: 0 remapped, 9 dropped

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 63% Maximum Zoom
Shear: ±9° Horizontal, ±10° Vertical
Saturation: Between -72% and +72%
Brightness: Between -47% and +47%
Blur: Up to 3.5px
Cutout: 15 boxes with 7% size each

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