Flash-VStream Model Card

Model details

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.

Training data

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

• 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
• 158K GPT-generated multimodal instruction-following data.
• 450K academic-task-oriented VQA data mixture.
• 40K ShareGPT data.
• 232K video-caption pairs sampled from the WebVid 2.5M dataset.
• 98K videos from ActivityNet with QA pairs from Video-ChatGPT.

License

This project is licensed under the LLAMA 2 License.