Dataset Versions
v2
2024-09-11 5:24am
Generated on Sep 11, 2024
939 Total Images
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Dataset Split
Train Set 90%
843Images
Valid Set 7%
62Images
Test Set 4%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px