Dataset Versions
v3
2024-07-22 8:33pm
Generated on Jul 22, 2024
243 Total Images
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Dataset Split
Train Set 89%
216Images
Valid Set 7%
18Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
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