test2 Computer Vision Model
663 Total Images
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Dataset Split
Train Set 87%
579Images
Valid Set 9%
57Images
Test Set 4%
27Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%