Dataset Versions
v9
2024-07-12 11:51am
Generated on Jul 12, 2024
364 Total Images
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Dataset Split
Train Set 92%
336Images
Valid Set 4%
14Images
Test Set 4%
14Images
Preprocessing
Resize: Stretch to 1333x1333
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 0.6px
Noise: Up to 0.85% of pixels