SegmentacionFallas_v3 Computer Vision Model
Versions
254 Total Images
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Dataset Split
Train Set 88%
222Images
Valid Set 8%
21Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -13% and +13%
Blur: Up to 0.8px
Noise: Up to 2.95% of pixels