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README.md

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