prithivMLmods/Opendoc2-Analysis-Recognition
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).… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Opendoc2-Analysis-Recognition.
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, andvision-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