Dataset Versions

v9

2024-11-29 3:16pm

Generated on Nov 29, 2024

Dataset Split

Train Set 92%
1550Images
Valid Set 5%
89Images
Test Set 3%
45Images

Preprocessing

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

Augmentations

Outputs per training example: 5
Grayscale: Apply to 15% of images
Hue: Between -22° and +22°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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