Dataset Versions

v3

2024-07-01 12:55pm

Generated on Jul 1, 2024

Dataset Split

Train Set 87%
426Images
Valid Set 8%
40Images
Test Set 4%
21Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -27% and +27%
Brightness: Between -25% and +25%
Exposure: Between -8% and +8%
Blur: Up to 2.2px
Noise: Up to 1.92% of pixels

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