Dataset Versions

v2

2023-02-04 7:45pm

Generated on Feb 4, 2023

Dataset Split

Train Set 90%
87Images
Valid Set 10%
10Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -9% and +9%
Blur: Up to 2.75px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 3% size each

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