Antociani Computer Vision Model
Versions
1464 Total Images
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Dataset Split
Train Set 94%
1379Images
Valid Set 4%
57Images
Test Set 2%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 7
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 1.5px
Noise: Up to 0.12% of pixels