Openvision-vit-base-patch16-384 Open-Source Visual Encoder

Openvision Vit Base Patch16 384

Developed by UCSC-VLAA

OpenVision is a fully open, cost-effective family of advanced vision encoders focused on image feature extraction in multimodal learning.

Downloads 43

Release Time : 5/6/2025

Model Overview

OpenVision provides efficient image feature extraction capabilities, suitable for the development and application of multimodal systems.

Fully Open

The model is completely open and freely available for both research and commercial use.

Cost-Effective

Designed with cost efficiency in mind, suitable for resource-constrained environments.

Multimodal Learning

Supports the development of multimodal systems and can be integrated with other modality data.

Image Feature Extraction

Multimodal Learning

Multimodal Systems

Image-Text Matching

Combines image features with text features for tasks like image retrieval or captioning.

Visual Question Answering

Integrates vision and language models to answer questions about image content.

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