Dataset Versions
v5
2023-07-04 11:58am
Generated on Jul 4, 2023
2003 Total Images
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Dataset Split
Train Set 89%
1776Images
Valid Set 7%
148Images
Test Set 4%
79Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±18° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 5% of pixels