Dataset Versions
v6
2024-10-18 6:16pm
Generated on Oct 18, 2024
4146 Total Images
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Dataset Split
Train Set 83%
3431Images
Valid Set 10%
427Images
Test Set 7%
288Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 63% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°