---
license: apache-2.0
task_categories:
- image-classification
language:
- en
tags:
- multiclass-image-classification
size_categories:
- n<1K
---


# 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.