LLaVA-OneVision
Efficient transformation models for multimodal vision tasks
Product Details
LLaVA-OneVision is a multi-modal large-scale model (LMMs) developed by ByteDance in collaboration with multiple universities that pushes the performance boundaries of open large-scale multi-modal models in single image, multi-image and video scenarios. The design of the model allows for powerful transfer learning between different modalities/scenarios, exhibiting new comprehensive capabilities, especially in video understanding and cross-scenario capabilities, demonstrated through image-to-video task conversion.
Main Features
How to Use
Target Users
LLaVA-OneVision is targeted at researchers and developers in the field of computer vision, as well as enterprises that need to process and analyze large amounts of visual data. It is suitable for users who seek to improve the intelligence of their products or services through advanced visual recognition and understanding technology.
Examples
Researchers use the LLaVA-OneVision model to improve autonomous vehicles' understanding of their surroundings.
Developers leverage this model to automatically tag and describe user-uploaded video content on social media platforms.
Enterprises use LLaVA-OneVision to automatically analyze abnormal behaviors in surveillance videos and improve the efficiency of security monitoring.
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