Dataset Versions

v10

2024-10-17 9:52am

Generated on Oct 17, 2024

Dataset Split

Train Set 88%
483Images
Valid Set 8%
44Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -5° and +5°
Saturation: Between -8% and +8%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1px

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