Dataset Versions
Versions
v8
2023-04-20 5:46pm
Generated on Apr 20, 2023
3776 Total Images
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Dataset Split
Train Set 97%
3657Images
Valid Set 2%
70Images
Test Set 1%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between 0% and +20%
Blur: Up to 1px
Bounding Box: Brightness: Between -5% and +0%