Dataset Versions

v9

2024-10-02 9:20pm

Generated on Oct 2, 2024

Dataset Split

Train Set 92%
770Images
Valid Set 6%
49Images
Test Set 2%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels

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