Dataset Versions
v1
2024-03-30 10:12pm
Generated on Mar 30, 2024
355 Total Images
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Dataset Split
Train Set 91%
324Images
Valid Set 4%
15Images
Test Set 5%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%