Dataset Versions
v7
2024-10-17 4:34am
Generated on Oct 17, 2024
1522 Total Images
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Dataset Split
Train Set 88%
1332Images
Valid Set 8%
126Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all 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°
Brightness: Between -24% and +24%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.18% of pixels