Y-test Computer Vision Model
1442 Total Images
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Dataset Split
Train Set 87%
1260Images
Valid Set 9%
122Images
Test Set 4%
60Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 2% of images
Hue: Between -28° and +28°
Saturation: Between -56% and +56%
Brightness: Between -33% and +33%
Exposure: Between -22% and +22%
Blur: Up to 2.3px
Noise: Up to 5.36% of pixels