Dataset Versions

v4

2024-03-14 12:50pm

Generated on Mar 14, 2024

Dataset Split

Train Set 86%
18Images
Valid Set 10%
2Images
Test Set 5%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -37% and +37%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2.04% of pixels

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