Dataset Versions
Versions
v1
2025-01-06 7:47pm
Generated on Jan 6, 2025
113 Total Images
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Dataset Split
Train Set 88%
99Images
Valid Set 8%
9Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Blur: Up to 1.6px
Noise: Up to 0.26% of pixels