ee Computer Vision Model
Versions
108 Total Images
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Dataset Split
Train Set 94%
102Images
Valid Set 3%
3Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.29% of pixels