Dataset Versions
v2
2024-07-20 10:16am
Generated on Jul 20, 2024
11474 Total Images
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Dataset Split
Train Set 96%
11028Images
Valid Set %
0Images
Test Set 4%
446Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 9% of images
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Blur: Up to 1.5px
Noise: Up to 1.84% of pixels