Dataset Versions
v1
2024-02-03 4:21pm
Generated on Feb 3, 2024
98 Total Images
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Dataset Split
Train Set 95%
93Images
Valid Set 2%
2Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down