Dataset Versions
Versions
v1
2024-06-05 8:01pm
Generated on Jun 5, 2024
8240 Total Images
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Dataset Split
Train Set 83%
6840Images
Valid Set 10%
786Images
Test Set 7%
614Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require at least 87% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -14° and +14°
Grayscale: Apply to 10% of images
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 1.53% of pixels