Dataset Versions
v16
test9
Generated on Nov 16, 2023
5868 Total Images
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Dataset Split
Train Set 87%
5124Images
Valid Set 8%
494Images
Test Set 4%
250Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x480
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Grayscale: Apply to 20% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px