blue-square Computer Vision Model
815 Total Images
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Dataset Split
Train Set 88%
714Images
Valid Set 8%
68Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 432x432
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -2° and +2°
Camera Gain: Variance: 0.09