Dataset Versions

v6

2024-09-21 11:49am

Generated on Sep 21, 2024

Dataset Split

Train Set 82%
1041Images
Valid Set 11%
138Images
Test Set 7%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels

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