Dataset Versions
v4
2024-12-11 11:25am
Generated on Dec 11, 2024
24 Total Images
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Dataset Split
Train Set 88%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels