Dataset Versions

v1

2024-08-27 12:58pm

Generated on Aug 27, 2024

Dataset Split

Train Set 88%
45Images
Valid Set 8%
4Images
Test Set 4%
2Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 12% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 0.9px
Noise: Up to 1.45% of pixels

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