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InternVideo
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InternVideo

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

by OpenGVLab · GitHub
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action-recognitionbenchmarkcontrastive-learningApache-2.0Python
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Utilize video foundation models for understanding and generating multimodal content.

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2.34k2.32k
2026-07-072026-08-31
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📄 About

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

InternVideo has 2.3k stars on GitHub. It has been forked 157 times. InternVideo is written mainly in Python. It has been in active development since 2022. InternVideo is available under the Apache-2.0 license. Its main topics are action-recognition, benchmark, contrastive-learning, foundation-models.

Frequently asked questions

What is InternVideo?

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Is InternVideo open source?

InternVideo is an open-source project. It is released under the Apache-2.0 license.

Is InternVideo free?

Yes. InternVideo is free and open source — you can use, modify and self-host it.

What license does InternVideo use?

InternVideo is available under the Apache-2.0 license.

What language is InternVideo written in?

InternVideo is written mainly in Python.

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