Dataset Versions
v2
2024-01-28 4:10pm
Generated on Jan 28, 2024
44 Total Images
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Dataset Split
Train Set 82%
36Images
Valid Set 9%
4Images
Test Set 9%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 1.41% of pixels