Dataset Versions
v2
2023-09-20 5:08pm
Generated on Sep 20, 2023
5080 Total Images
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Dataset Split
Train Set 88%
4446Images
Valid Set 8%
422Images
Test Set 4%
212Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 10 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels