Dataset Versions

v1

2024-11-03 7:35pm

Generated on Nov 3, 2024

Dataset Split

Train Set 90%
276Images
Valid Set 7%
22Images
Test Set 3%
10Images

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 15% of images
Noise: Up to 0.71% of pixels

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