Dataset Versions
v4
2024-04-28 1:09am
Generated on Apr 28, 2024
346 Total Images
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Dataset Split
Train Set 87%
300Images
Valid Set 8%
26Images
Test Set 6%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -3° and +3°
Grayscale: Apply to 15% of images
Hue: Between -21° and +21°
Blur: Up to 2.5px
Noise: Up to 1.61% of pixels