Dataset Versions
Versions
v1
2023-09-01 3:44pm
Generated on Sep 1, 2023
3805 Total Images
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Dataset Split
Train Set 95%
3632Images
Valid Set 4%
160Images
Test Set 0%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 4 dropped
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels