Dataset Versions

v2

2024-09-04 7:52am

Generated on Sep 4, 2024

Dataset Split

Train Set 92%
987Images
Valid Set 6%
61Images
Test Set 2%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels
Cutout: 3 boxes with 10% size each

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