ShareGPT4Video

Preview：

Introduce：

The ShareGPT4Video series is designed to facilitate video understanding for large video-language models (LVLMs) and video generation for text-to-video models (T2VMs) through intensive and precise captioning. The series includes: 1) ShareGPT4Video, 40K GPT4V annotated intensive video captioning, developed through carefully designed data filtering and annotation strategies. 2) ShareCaptioner-Video, an efficient and powerful arbitrary video captioning model, by its annotated 4.8M high quality aesthetic video. 3) ShareGPT4Video-8B, a simple but superior LVLM that achieves optimal performance in three advanced video benchmarks.

Stakeholders:
The ShareGPT4Video series is suitable for researchers and developers who need to do video content analysis and generation, especially those professionals who focus on video understanding and text-to-video conversion technologies. It provides powerful support for automatic annotation of video content, video summary generation and video generation tasks.
Usage Scenario Examples:

• Video content analysis and captioning generation of shorelines and historic buildings on the Amalfi Coast using the ShareGPT4Video model.
• Use ShareCalitioner-Video to generate descriptive captions for an abstract art video to enhance the artistic expression of the video.
• Through the ShareGPT4Video-8B model, we can realize the in-depth understanding of a video of fireworks display and generate related descriptions.

The features of the tool:

• ShareGPT4Video, a 40K high quality video covering a wide range of categories, with captions containing a wealth of world knowledge, object properties, camera movements and detailed and accurate time descriptions of events.
• ShareCalitioner-Video, which efficiently generates high-quality captions for any video, has proven its effectiveness in 10-second text-to-video generation tasks.
• ShareGPT4Video-8B, a new LVLM, validated its effectiveness on several current LVLM architectures and demonstrated its superior performance.
• A differentiated video captioning strategy is designed, which is stable, scalable and efficient, and can be used to generate video captioning with arbitrary resolution, aspect ratio and length.
• The ShareGPT4Video dataset contains a large number of high-quality video-subtitle pairs covering diverse content, including wildlife, cooking, sports, landscapes and more.
• ShareCalitioner-Video is a 4-in-1 superior video captioning model with quick captioning, sliding captioning, clip summary and prompt heavy captioning capabilities.

Steps for Use:

• Visit ShareGPT4Video’s official website for models and datasets.
• Choose the right model for your needs, such as ShareGPT4Video or ShareCalitioner-Video.
• Download and install the necessary software environments and dependency libraries.
• Load the model and prepare video data.
• Run the model to process the video, such as captioning generation or content analysis.
• View the generated captions or analysis results and develop further applications as needed.

Tool’s Tabs: Video understanding, text to video