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Llava SpaceSGG
L
Llava SpaceSGG
Developed by wumengyangok
LLaVA-SpaceSGG is a visual question-answering model based on LLaVA-v1.5-13b, focusing on scene graph generation tasks. It can understand image content and generate structured scene descriptions.
Downloads 36
Release Time : 12/10/2024
Model Overview
This model combines visual and language processing capabilities to generate scene graphs by analyzing image content, suitable for scenarios requiring structured visual understanding.
Model Features
Multimodal Understanding
Combines visual and language processing capabilities to understand image content and generate structured descriptions.
Scene Graph Generation
Focuses on extracting objects and their relationships from images to generate structured scene graphs.
LLaVA-based Extension
Optimized based on LLaVA-v1.5-13b, focusing on scene understanding tasks.
Model Capabilities
Image Content Understanding
Visual Question Answering
Scene Graph Generation
Multimodal Reasoning
Use Cases
Computer Vision
Intelligent Image Analysis
Automatically analyzes image content and generates structured scene descriptions
Can be used for applications such as image retrieval and content understanding
Human-Computer Interaction
Visual Question Answering System
Answers natural language questions about image content
Enhances the naturalness and accuracy of human-computer interaction
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