Dataset Versions
v2
2024-08-30 8:23am
Generated on Aug 30, 2024
442 Total Images
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Dataset Split
Train Set 88%
387Images
Valid Set 8%
37Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%