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Openvision Vit So400m Patch14 384
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Openvision Vit So400m Patch14 384

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective family of advanced vision encoders for multimodal learning.
Multimodal FusionOpen Source License:Apache-2.0#Multimodal Learning#Cost-Effective#Open Vision Encoder
Downloads 238
Release Time : 5/6/2025

Model Overview

OpenVision provides a series of efficient vision encoders supporting multimodal learning tasks, particularly suitable for image feature extraction and related applications.

Model Features

Fully Open
The model is fully open-source, allowing free use and modification.
Cost-Effective
Designed with computational efficiency in mind, suitable for resource-limited environments.
Multimodal Support
Supports multimodal learning tasks involving vision and language.

Model Capabilities

Image Feature Extraction
Multimodal Learning
Vision-Language Alignment

Use Cases

Computer Vision
Image Classification
Using extracted image features for classification tasks.
Image Retrieval
Similarity search based on visual features.
Multimodal Applications
Image-Text Matching
Aligning the semantic spaces of images and texts.
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