Dataset Versions
v2
2024-06-27 4:28am
Generated on Jun 27, 2024
1930 Total Images
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Dataset Split
Train Set 88%
1689Images
Valid Set 8%
161Images
Test Set 4%
80Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical