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