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+ # Fruits30 Dataset
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+ ## Description:
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+ The Fruits30 dataset is a collection of images featuring 30 different types of fruits. Each image has been preprocessed and standardized to a size of 224x224 pixels, ensuring uniformity in the dataset.
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+ ## Dataset Composition:
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+ - **Number of Classes:** 30
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+ - **Image Resolution:** 224x224 pixels
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+ - **Total Images:** 856
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+ ## Classes:
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+ 1. Apple
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+ 2. Banana
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+ 3. Orange
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+ 4.
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+ ## Preprocessing:
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+ Images have undergone preprocessing to maintain consistency and facilitate model training. Preprocessing steps may include resizing, normalization, and other enhancements.
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+ ## Intended Use:
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+ The Fruits30 dataset is suitable for tasks such as image classification, object recognition, and machine learning model training within the domain of fruit identification.
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+ ## Sources:
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+ Include any relevant sources or references regarding the dataset's origin or licensing.
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+ ## Note:
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+ Ensure proper attribution and compliance with the dataset's licensing terms when using it for research or development purposes.