barakat_model_class Computer Vision Dataset
496 Total Images
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Dataset Split
Train Set 88%
435Images
Valid Set 8%
40Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 1.8% of pixels