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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-classification |
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- image-feature-extraction |
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language: |
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- en |
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tags: |
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- image |
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- analysis |
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- vision-language |
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size_categories: |
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- n<1K |
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--- |
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# Opendoc1-Analysis-Recognition Dataset |
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## Overview |
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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. |
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## Dataset Details |
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- **Modalities**: Image |
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- **Languages**: English |
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- **Size**: Approximately 1,000 samples (n=1K) |
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- **Tags**: image, analysis, vision-language |
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- **License**: Apache 2.0 |
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## Tasks |
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This dataset can be used for the following tasks: |
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- **Image-to-Text**: Convert images into textual descriptions. |
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- **Text Classification**: Classify text associated with images. |
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- **Image Feature Extraction**: Extract features from images for further analysis. |
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## Dataset Structure |
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The dataset is split into a training set with 232 rows. Each row contains: |
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- **Image**: The image file. |
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- **Label**: The class label associated with the image. |
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## Usage |
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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. |
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## Download Information |
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- **Size of downloaded dataset files**: 443 MB |
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- **Size of the auto-converted Parquet files**: 464 MB |
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- **Number of rows**: 386 |
