Dataset Versions
v9
2024-11-20 9:13pm
Generated on Nov 21, 2024
2175 Total Images
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Dataset Split
Train Set 85%
1845Images
Valid Set 11%
234Images
Test Set 4%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 1.8px
Noise: Up to 0.81% of pixels