Dataset Versions

v1

2023-05-11 10:57am

Generated on May 11, 2023

Dataset Split

Train Set 87%
372Images
Valid Set 7%
32Images
Test Set 5%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 5% of pixels

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