Dataset Versions
v2
2024-08-31 3:44am
Generated on Aug 31, 2024
84 Total Images
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Dataset Split
Train Set 86%
72Images
Valid Set 10%
8Images
Test Set 5%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%