---
license: apache-2.0
task_categories:
- image-classification
language:
- en
tags:
- multiclass-image-classification
- vision
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:** 826

## Classes:
0 : acerolas   
1 : apples  
2 : apricots   
3 : avocados  
4 : bananas  
5 : blackberries  
6 : blueberries  
7 : cantaloupes  
8 : cherries  
9 : coconuts   
10 : figs  
11 : grapefruits  
12 : grapes  
13 : guava   
14 : kiwifruit  
15 : lemons  
16 : limes  
17 : mangos  
18 : olives  
19 : oranges  
20 : passionfruit    
21 : peaches  
22 : pears  
23 : pineapples  
24 : plums 
25 : pomegranates  
26 : raspberries  
27 : strawberries  
28 : tomatoes   
29 : watermelons  

## 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:
Croudsource.

## Note:
Ensure proper attribution and compliance with the dataset's licensing terms when using it for research or development purposes.