Dataset Versions
v1
2024-10-18 3:03pm
Generated on Oct 18, 2024
966 Total Images
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Dataset Split
Train Set 97%
936Images
Valid Set 2%
24Images
Test Set 1%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.6% of pixels