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--- |
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license: apache-2.0 |
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task_categories: |
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- image-to-text |
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- text-retrieval |
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language: |
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- en |
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tags: |
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- image |
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- vision |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Opendoc2-Analysis-Recognition Dataset |
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## Overview |
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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. |
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## Dataset Details |
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- **Modalities**: Likely includes images and associated labels (specific modalities can be confirmed on the dataset's page). |
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- **Languages**: Primarily English (assumed based on similar datasets). |
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- **Size**: The dataset files are approximately 2.80 GB in size. |
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- **Tags**: Likely includes tags such as `image`, `analysis`, and `vision-language` (specific tags can be confirmed on the dataset's page). |
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- **License**: Likely under an open-source license (specific license can be confirmed on the dataset's page). |
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## Dataset Structure |
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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. |
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## Download Information |
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- **Size of downloaded dataset files**: 2.80 GB |
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- **Size of the auto-converted Parquet files**: 2.81 GB |
