Dataset Versions

v3

2024-06-07 2:52pm

Generated on Jun 7, 2024

Dataset Split

Train Set 96%
8055Images
Valid Set 3%
223Images
Test Set 1%
126Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Saturation: Between -28% and +28%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.97% of pixels

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