Dataset Versions
v6
fiveMIN
Generated on Nov 15, 2024
4633 Total Images
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Dataset Split
Train Set 87%
4053Images
Valid Set 8%
386Images
Test Set 4%
194Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -0° and +0°
Brightness: Between -20% and +20%
Blur: Up to 0.6px
Noise: Up to 0.06% of pixels
