Dataset Versions
v4
2023-08-02 9:35pm
Generated on Aug 2, 2023
513 Total Images
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Dataset Split
Train Set 94%
480Images
Valid Set 3%
15Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -40° and +40°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px