metadata

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:

Circle
Plus
Minus
Integral
Square root

Splits

The dataset is divided into the following splits:

Train: 12,000 rows