Dataset Versions

v1

2024-08-07 8:17am

Generated on Aug 7, 2024

Dataset Split

Train Set 91%
1078Images
Valid Set 6%
74Images
Test Set 3%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -21° and +21°
Hue: Between -34° and +34°
Saturation: Between -39% and +39%
Brightness: Between -12% and +12%
Exposure: Between -19% and +19%
Blur: Up to 0.6px
Noise: Up to 1.13% of pixels

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