Dataset Versions
v2
2023-04-30 9:11am
Generated on Apr 30, 2023
924 Total Images
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Dataset Split
Train Set 90%
834Images
Valid Set 7%
63Images
Test Set 3%
27Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Vertical
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±22° Horizontal, ±22° Vertical
Blur: Up to 1px
Noise: Up to 5% of pixels