Dataset Versions

v11

2024-07-04 10:28am

Generated on Jul 4, 2024

Dataset Split

Train Set 82%
1630Images
Valid Set 12%
233Images
Test Set 6%
116Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -53° and +53°
Exposure: Between -21% and +21%
Blur: Up to 1px
Noise: Up to 10% of pixels

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