A. Convert the images to grayscale and retrain the model
B. Reduce the number of distinct items from 10 to 2, build the model, and iterate
C. Attach different colored labels to each item, take the images again, and build the model
D. Augment training data for each item using image variants like inversions and translations, build the model, and iterate.
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