| | ---
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| | license: llama2
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| | tags:
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| | - vision-language model
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| | - llama
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| | - video understanding
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| | ---
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| |
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| | # Flash-VStream Model Card
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| | <a href='https://invinciblewyq.github.io/vstream-page/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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| | <a href='https://arxiv.org/abs/2406.08085v1'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
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| |
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| | ## Model details
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| | We proposed Flash-VStream, a video-language model that simulates the memory mechanism of human. Our model is able to process extremely long video streams in real-time and respond to user queries simultaneously.
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| |
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| | ## Training data
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| | This model is trained based on image data from LLaVA-1.5 dataset, and video data from WebVid and ActivityNet datasets following LLaMA-VID, including
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| | - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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| | - 158K GPT-generated multimodal instruction-following data.
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| | - 450K academic-task-oriented VQA data mixture.
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| | - 40K ShareGPT data.
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| | - 232K video-caption pairs sampled from the WebVid 2.5M dataset.
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| | - 98K videos from ActivityNet with QA pairs from Video-ChatGPT.
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| |
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| | ## License
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| |
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| | This project is licensed under the [LLAMA 2 License](LICENSE).
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| |
|
