Dataset Versions
v4
2024-03-11 7:56pm
Generated on Mar 11, 2024
1213 Total Images
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Dataset Split
Train Set 88%
1066Images
Valid Set 10%
116Images
Test Set 3%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 95 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
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