Dataset Versions
v6
2024-11-20 7:50pm
Generated on Nov 20, 2024
787 Total Images
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Dataset Split
Train Set 91%
714Images
Valid Set 7%
52Images
Test Set 3%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -2% and +2%
Brightness: Between -1% and +1%
Blur: Up to 0.4px
Noise: Up to 1.92% of pixels