Dataset Versions
Versions
v1
2024-08-08 4:59am
Generated on Aug 8, 2024
51 Total Images
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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 Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels