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🔥 VideoLLaMA 3: Frontier Multimodal Foundation Models for Video Understanding


VideoLLaMA - это серия мультимодальных моделей (MLLM), разработанных для различных задач понимания изображений и видео!

🌟 Модели поддерживают возможности обработки текста, изображений и видео.

Модели подойдут для создания универсальных приложений, способных решать широкий спектр задач, связанных с анализом визуальной информации.

🖐️Результаты 7B модели: DocVQA: 94,9, MathVision: 26,2, VideoMME: 66,2/70,3, MLVU: 73,0
🤏 Результаты 2B-модели для мобильных устройств: MMMU: 45.3, VideoMME: 59.6/63.4

🔐 Лицензирование: Apache-2.0

Github: https://github.com/DAMO-NLP-SG/VideoLLaMA3
Image Demo: https://huggingface.co/spaces/lixin4ever/VideoLLaMA3-Image
Video Demo: https://huggingface.co/spaces/lixin4ever/VideoLLaMA3

@ai_machinelearning_big_data

#video #MLLM #opensource #VideoLLaMA #VideoUnderstanding
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🔥 VideoLLaMA 3: Frontier Multimodal Foundation Models for Video Understanding


VideoLLaMA - это серия мультимодальных моделей (MLLM), разработанных для различных задач понимания изображений и видео!

🌟 Модели поддерживают возможности обработки текста, изображений и видео.

Модели подойдут для создания универсальных приложений, способных решать широкий спектр задач, связанных с анализом визуальной информации.

🖐️Результаты 7B модели: DocVQA: 94,9, MathVision: 26,2, VideoMME: 66,2/70,3, MLVU: 73,0
🤏 Результаты 2B-модели для мобильных устройств: MMMU: 45.3, VideoMME: 59.6/63.4

🔐 Лицензирование: Apache-2.0

Github: https://github.com/DAMO-NLP-SG/VideoLLaMA3
Image Demo: https://huggingface.co/spaces/lixin4ever/VideoLLaMA3-Image
Video Demo: https://huggingface.co/spaces/lixin4ever/VideoLLaMA3

@ai_machinelearning_big_data

#video #MLLM #opensource #VideoLLaMA #VideoUnderstanding

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