Dataset Versions
v2
2024-05-18 9:08pm
Generated on May 18, 2024
8628 Total Images
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Dataset Split
Train Set 90%
7744Images
Valid Set 7%
616Images
Test Set 3%
268Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -18% and +18%
Blur: Up to 1.7px
Noise: Up to 0.69% of pixels