Dataset Versions
v3
2024-08-28 2:57pm
Generated on Aug 28, 2024
1643 Total Images
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Dataset Split
Train Set 87%
1437Images
Valid Set 8%
136Images
Test Set 4%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels