Dataset Versions
Versions
v1
2024-08-26 11:10pm
Generated on Aug 26, 2024
1262 Total Images
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Dataset Split
Train Set 91%
1146Images
Valid Set 6%
70Images
Test Set 4%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.54% of pixels
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