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Glamm FullScope
GLaMM-FullScope is a multimodal large model that integrates all capabilities of GLaMM, including scene dialogue generation, referring expression segmentation, region-level image description, image-level description generation, and visual question answering.
Downloads 236
Release Time : 12/26/2023
Model Overview
GLaMM-FullScope is developed through hybrid fine-tuning of multiple open-source datasets, possessing comprehensive vision-language understanding and generation capabilities, suitable for various multimodal tasks.
Model Features
Comprehensive multimodal capabilities
Integrates all capabilities of GLaMM, including scene dialogue generation, referring expression segmentation, and region-level image description.
Hybrid fine-tuning
Developed through hybrid fine-tuning of multiple open-source datasets, possessing stronger generalization capabilities.
Pixel-level understanding
Capable of pixel-level visual understanding and generation, suitable for fine-grained visual tasks.
Model Capabilities
Scene-based dialogue generation
Referring expression segmentation
Region-level image description
Image-level description generation
Visual question answering
Use Cases
Vision-language interaction
Scene dialogue generation
Generates natural language dialogues based on image content, suitable for scenarios like intelligent assistants.
Referring expression segmentation
Segments specific regions in an image based on natural language descriptions, suitable for scenarios like image editing.
Image understanding
Region-level image description
Generates detailed descriptions for specific regions in an image, suitable for scenarios like image annotation.
Image-level description generation
Generates summary descriptions for entire images, suitable for scenarios like image retrieval.
Question answering systems
Visual question answering
Answers natural language questions based on image content, suitable for scenarios like intelligent customer service.
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