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<b><font size="6">OpenGVLab</font></b> | |
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Welcome to OpenGVLab! We are a research group from Shanghai AI Lab focused on Vision-Centric AI research. The GV in our name, OpenGVLab, means general vision, a general understanding of vision, so little effort is needed to adapt to new vision-based tasks. | |
# Models | |
- [InternVL](https://github.com/OpenGVLab/InternVL): a pioneering open-source alternative to GPT-4V. | |
- [InternImage](https://github.com/OpenGVLab/InternImage): a large-scale vision foundation models with deformable convolutions. | |
- [InternVideo](https://github.com/OpenGVLab/InternVideo): large-scale video foundation models for multimodal understanding. | |
- [VideoChat](https://github.com/OpenGVLab/Ask-Anything): an end-to-end chat assistant for video comprehension. | |
- [All Seeing](): | |
- [All Seeing V2](): | |
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# Datasets | |
- [ShareGPT4o](): | |
- [InternVid](https://github.com/OpenGVLab/InternVideo/tree/main/Data/InternVid): a large-scale video-text dataset for multimodal understanding and generation. | |
# Benchmarks | |
- [MVBench](https://github.com/OpenGVLab/Ask-Anything/tree/main/video_chat2): a comprehensive benchmark for multimodal video understanding. | |