Dataset Versions
v4
2024-07-31 8:07pm
Generated on Jul 31, 2024
369 Total Images
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Dataset Split
Train Set 88%
324Images
Valid Set 7%
27Images
Test Set 5%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px