---
license: creativeml-openrail-m
task_categories:
- image-classification
language:
- en
size_categories:
- 10K<n<100K
---
# Math-Symbols Dataset

## Overview
The Math-Symbols dataset is a collection of images representing various mathematical symbols. This dataset is designed for machine learning applications, particularly in the fields of image recognition, optical character recognition (OCR), and symbol classification.

## Dataset Details
- **Name**: Math-Symbols
- **Type**: Image dataset
- **Format**: Images with corresponding labels
- **Size**: 131MB (downloaded dataset files), 118MB (auto-connected Parquet files)
- **Number of Rows**: 20,000
- **Image Dimensions**: 224px x 224px
- **Classes**: 128 different mathematical symbols (e.g., circle, plus, minus, etc.)

## Usage
This dataset is intended for use in machine learning models that require image recognition and classification of mathematical symbols. It can be used for training, validation, and testing of models in various image processing tasks.

## Structure
The dataset is structured as follows:
- **Images**: Each image is a 224px x 224px representation of a mathematical symbol.
- **Labels**: Each image is associated with a class label indicating the mathematical symbol it represents.

## Examples
Here are a few examples of the classes included in the dataset:
1. Circle
2. Plus
3. Minus
4. Integral
5. Square root

## Splits
The dataset is divided into the following splits:
- **Train**: 12,000 rows