Dataset Versions
Versions
v1
2024-10-18 3:20pm
Generated on Oct 18, 2024
238 Total Images
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Dataset Split
Train Set 94%
224Images
Valid Set 4%
10Images
Test Set 2%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Grayscale: Apply to 15% of images
Saturation: Between -14% and +14%
Brightness: Between -11% and +11%
Exposure: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 1.01% of pixels