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The fruit classification model aims to categorize images into one of five fruit types: apples, bananas, grapes, mangoes, and strawberries. It will be trained and tested on a dataset containing 2,000 images per fruit, totaling 10,000 images. The model will analyze visual features of the images to accurately identify the type of fruit depicted.
The text was updated successfully, but these errors were encountered:
The fruit classification model aims to categorize images into one of five fruit types: apples, bananas, grapes, mangoes, and strawberries. It will be trained and tested on a dataset containing 2,000 images per fruit, totaling 10,000 images. The model will analyze visual features of the images to accurately identify the type of fruit depicted.
The text was updated successfully, but these errors were encountered: