Dataset Versions
Versions
v1
2024-11-08 9:29am
Generated on Nov 8, 2024
30036 Total Images
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Dataset Split
Train Set 88%
26328Images
Valid Set 6%
1840Images
Test Set 6%
1868Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels