Dataset Versions
v2
2024-08-07 7:29am
Generated on Aug 7, 2024
990 Total Images
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Dataset Split
Train Set 85%
840Images
Valid Set 9%
86Images
Test Set 6%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels