Dataset Versions
Versions
v1
2023-01-16 11:39am
Generated on Jan 16, 2023
608 Total Images
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Dataset Split
Train Set 83%
502Images
Valid Set 12%
71Images
Test Set 6%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -57% and +57%
Blur: Up to 3.75px
Noise: Up to 3% of pixels
Mosaic: Applied