Dataset Versions
v6
2024-08-04 7:25am
Generated on Aug 4, 2024
64 Total Images
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Dataset Split
Train Set 75%
48Images
Valid Set 6%
4Images
Test Set 19%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels