Dataset Versions
Versions
v1
2024-05-02 11:23am
Generated on May 2, 2024
43276 Total Images
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Dataset Split
Train Set 88%
37872Images
Valid Set 8%
3600Images
Test Set 4%
1804Images
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
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels