THESIS Computer Vision Model
900 Total Images
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Dataset Split
Train Set 100%
900Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels