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Openvision Vit Base Patch16 224
OpenVision is a fully open, cost-effective family of advanced visual encoders focused on multimodal learning.
Downloads 79
Release Time : 5/7/2025
Model Overview
The OpenVision ViT model is a Vision Transformer model designed for efficient image feature extraction, supporting multimodal learning tasks.
Model Features
Fully Open Architecture
The model adopts a fully open architecture design, facilitating research and commercial applications.
High Cost-effectiveness
Optimizes computational resource usage while maintaining high performance, improving cost-effectiveness.
Multimodal Support
Designed specifically for multimodal learning, capable of effectively handling complex tasks combining vision and language.
Model Capabilities
Image Feature Extraction
Multimodal Learning
Visual Representation Learning
Use Cases
Computer Vision
Image Classification
Efficient classification using extracted image features
Cross-modal Retrieval
Enables cross-modal search between images and text
Multimodal Applications
Visual Question Answering
Answers questions by combining image and text information
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