---
license: apache-2.0
task_categories:
- image-to-text
- text-retrieval
language:
- en
tags:
- image
- vision
size_categories:
- 10K<n<100K
---

# Opendoc2-Analysis-Recognition Dataset

## Overview
The **Opendoc2-Analysis-Recognition** dataset is a collection of data designed for tasks involving image analysis and recognition. It is suitable for various machine learning tasks, including image-to-text conversion, text classification, and image feature extraction.

## Dataset Details
- **Modalities**: Likely includes images and associated labels (specific modalities can be confirmed on the dataset's page).
- **Languages**: Primarily English (assumed based on similar datasets).
- **Size**: The dataset files are approximately 2.80 GB in size.
- **Tags**: Likely includes tags such as `image`, `analysis`, and `vision-language` (specific tags can be confirmed on the dataset's page).
- **License**: Likely under an open-source license (specific license can be confirmed on the dataset's page).

## Dataset Structure
The dataset is structured in a way that supports machine learning tasks. The exact structure (e.g., splits, columns, or fields) can be found on the dataset's Hugging Face page.

## Download Information
- **Size of downloaded dataset files**: 2.80 GB
- **Size of the auto-converted Parquet files**: 2.81 GB