Datasets:
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---
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. |