---
license: apache-2.0
task_categories:
- image-to-text
- text-classification
- image-feature-extraction
language:
- en
tags:
- image
- analysis
- vision-language
size_categories:
- n<1K
---

# Opendoc1-Analysis-Recognition Dataset

## Overview
The **Opendoc1-Analysis-Recognition** dataset is designed for tasks involving image-to-text, text classification, and image feature extraction. It contains images paired with class labels, making it suitable for vision-language tasks.

## Dataset Details
- **Modalities**: Image
- **Languages**: English
- **Size**: Approximately 1,000 samples (n=1K)
- **Tags**: image, analysis, vision-language
- **License**: Apache 2.0

## Tasks
This dataset can be used for the following tasks:
- **Image-to-Text**: Convert images into textual descriptions.
- **Text Classification**: Classify text associated with images.
- **Image Feature Extraction**: Extract features from images for further analysis.

## Dataset Structure
The dataset is split into a training set with 232 rows. Each row contains:
- **Image**: The image file.
- **Label**: The class label associated with the image.

## Usage
To use this dataset, you can download it from the Hugging Face Datasets Hub. The dataset files are approximately 443 MB in size, and the auto-converted Parquet files are around 464 MB.

## Download Information
- **Size of downloaded dataset files**: 443 MB
- **Size of the auto-converted Parquet files**: 464 MB
- **Number of rows**: 386