Dataset Versions
v1
2024-07-24 11:20pm
Generated on Jul 24, 2024
113 Total Images
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Dataset Split
Train Set 88%
99Images
Valid Set 8%
9Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 1.3px
Noise: Up to 0.38% of pixels
Bounding Box: Brightness: Between -15% and +15%