Dataset Versions
v2
Second_2024-02-04 3-20pm
Generated on Feb 4, 2024
2174 Total Images
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Dataset Split
Train Set 92%
2001Images
Valid Set 4%
86Images
Test Set 4%
87Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1.5px
Noise: Up to 1.56% of pixels