AIbase
EN
Home
Openvision Vit Large Patch14 224
O

Openvision Vit Large Patch14 224

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective family of advanced vision encoders focused on multimodal learning.
Multimodal FusionOpen Source License:Apache-2.0#Multimodal Visual Encoding#Open-source Pretrained Models#Zero-shot Image Classification
Downloads 308
Release Time : 5/6/2025

Model Overview

OpenVision offers a series of efficient vision encoders designed to support multimodal learning tasks such as image feature extraction and cross-modal understanding.

Model Features

Fully Open
Model weights and code are fully open, facilitating research and applications.
Cost-effective
Optimizes computational resource usage while maintaining high performance.
Multimodal Support
Supports cross-modal learning tasks for vision and language.

Model Capabilities

Image Feature Extraction
Cross-modal Understanding
Multimodal Learning

Use Cases

Computer Vision
Image Retrieval
Efficient image retrieval using extracted image features.
Visual Question Answering
Combines text and image features for question-answering tasks.
Multimodal Applications
Image-Text Matching
Evaluates the relevance between images and text.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase