Dataset Versions
v3
2024-04-21 7:15pm
Generated on Apr 21, 2024
2856 Total Images
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Dataset Split
Train Set 88%
2499Images
Valid Set 8%
238Images
Test Set 4%
119Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 3% of pixels