Dataset Versions
v10
2024-08-30 1:42am
Generated on Aug 30, 2024
2508 Total Images
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Dataset Split
Train Set 91%
2292Images
Valid Set 4%
97Images
Test Set 5%
119Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Blur: Up to 2px
Noise: Up to 1% of pixels