Dataset Versions
v4
2024-03-22 4:54am
Generated on Mar 22, 2024
38382 Total Images
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Dataset Split
Train Set 90%
34664Images
Valid Set 6%
2466Images
Test Set 3%
1252Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 10% of images to contain annotations.
Augmentations
Outputs per training example: 4
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -15% and +15%
Noise: Up to 0.93% of pixels