Dataset Versions

v3

2024-07-18 4:24am

Generated on Jul 18, 2024

Dataset Split

Train Set 92%
19593Images
Valid Set 4%
818Images
Test Set 4%
816Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 520x520

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.18% of pixels

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