AI video understanding

The ShareGPT4Video family aims to facilitate video understanding with Large Video-Language Models (LVLMs) and video generation with Text-to-Video Models (T2VMs) with dense and accurate captions. The series includes: 1) ShareGPT4Video, 40K GPT4V annotated dense video subtitles developed through carefully designed data filtering and annotation strategies. 2) ShareCaptioner-Video, an efficient and powerful arbitrary video captioning model, annotated by its 4.8M high-quality aesthetic videos. 3) ShareGPT4Video-8B, a simple but superior LVLM that achieves the best performance on three advanced video benchmarks.

VideoLLaMA 2 is a large-scale language model optimized for video understanding tasks that improves the parsing and understanding of video content through advanced spatial-temporal modeling and audio understanding capabilities. The model demonstrates excellent performance on tasks such as multi-select video question answering and video subtitle generation.