Dataset Versions
v2
2024-05-28 3:31pm
Generated on May 28, 2024
5092 Total Images
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Dataset Split
Train Set 82%
4192Images
Valid Set 12%
600Images
Test Set 6%
300Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 32% of images to contain annotations.
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 3.7px
Noise: Up to 1.68% of pixels