Dataset Versions
v4
2024-07-01 9:28am
Generated on Jul 1, 2024
403 Total Images
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Dataset Split
Train Set 88%
354Images
Valid Set 8%
32Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 0 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels