Dataset Versions
v20
test9v5pass
Generated on Oct 31, 2023
508 Total Images
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Dataset Split
Train Set 87%
444Images
Valid Set 8%
43Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Grayscale: Apply to 40% of images
Brightness: Between -50% and +50%
Blur: Up to 4px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down