Dataset Versions
Versions
v1
2024-06-08 4:29pm
Generated on Jun 8, 2024
10800 Total Images
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Dataset Split
Train Set 88%
9450Images
Valid Set 8%
900Images
Test Set 4%
450Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 0.18% of pixels