Dataset Versions
Versions
v1
2024-11-05 12:14pm
Generated on Nov 5, 2024
150 Total Images
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Dataset Split
Train Set 89%
133Images
Valid Set 7%
11Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 60% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°