Dataset Versions

v1

2024-07-09 5:06am

Generated on Jul 9, 2024

Dataset Split

Train Set 88%
1956Images
Valid Set 8%
186Images
Test Set 4%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 4.1px
Noise: Up to 1.8% of pixels

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