Dataset Versions
v5
2024-08-15 3:28pm
Generated on Aug 15, 2024
184 Total Images
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Dataset Split
Train Set 90%
165Images
Valid Set 7%
13Images
Test Set 3%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 23% of images
Saturation: Between -31% and +31%
Blur: Up to 1.8px
Noise: Up to 1.8% of pixels
Bounding Box: Blur: Up to 2.5px