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  - vision
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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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+
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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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+
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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