Dataset Versions
v3
2024-09-21 1:12pm
Generated on Sep 21, 2024
4090 Total Images
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Dataset Split
Train Set 95%
3879Images
Valid Set 5%
211Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±8° Vertical
Brightness: Between -46% and +46%
Blur: Up to 0.9px
Noise: Up to 0.22% of pixels