Dataset Versions
v1
2022-12-25 3:02am
Generated on Dec 24, 2022
313 Total Images
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Dataset Split
Train Set 90%
282Images
Valid Set 6%
20Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -6% and +6%
Exposure: Between -9% and +9%
Blur: Up to 1.25px
Cutout: 3 boxes with 10% size each