Dataset Versions
Versions
v1
2024-09-02 10:11pm
Generated on Sep 2, 2024
4790 Total Images
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Dataset Split
Train Set 87%
4190Images
Valid Set 8%
400Images
Test Set 4%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Brightness: Between -10% and +10%