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--- |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: string |
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- name: image |
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dtype: image |
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- name: caption |
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dtype: string |
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- name: text_detected |
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dtype: bool |
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splits: |
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- name: val |
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num_bytes: 3496788418.0 |
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num_examples: 7750 |
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|
- name: test |
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|
num_bytes: 3981888752.0 |
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|
num_examples: 8000 |
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download_size: 7445881828 |
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dataset_size: 7478677170.0 |
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|
--- |
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# Dataset Card for "VizWiz-Caps" |
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<p align="center" width="100%"> |
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<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%"> |
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</p> |
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# Large-scale Multi-modality Models Evaluation Suite |
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> Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval` |
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🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab) |
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# This Dataset |
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This is a formatted version of [VizWiz-Caps](https://arxiv.org/abs/2002.08565v2). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. |
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``` |
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@inproceedings{gurari2020captioning, |
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title={Captioning images taken by people who are blind}, |
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author={Gurari, Danna and Zhao, Yinan and Zhang, Meng and Bhattacharya, Nilavra}, |
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booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XVII 16}, |
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pages={417--434}, |
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year={2020}, |
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organization={Springer} |
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|
} |
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|
``` |
