Dataset Versions
Versions
v1
2023-11-18 1:36am
Generated on Nov 17, 2023
126 Total Images
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Dataset Split
Train Set 93%
117Images
Valid Set 3%
4Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 4% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -21° and +21°
Grayscale: Apply to 44% of images
Brightness: Between -47% and +47%
Blur: Up to 4px
Cutout: 13 boxes with 10% size each