Dataset Versions
v4
2023-09-05 7:43pm
Generated on Sep 5, 2023
377 Total Images
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Dataset Split
Train Set 88%
330Images
Valid Set 8%
32Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 7% Minimum Zoom, 55% Maximum Zoom
Rotation: Between -32° and +32°