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Openvision Vit Small Patch8 224
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Openvision Vit Small Patch8 224

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective advanced vision encoder family focused on multimodal learning.
Open Source License:Apache-2.0#Multimodal Visual Encoding#Open Source & Efficient#General Feature Extraction
Downloads 25
Release Time : 5/6/2025

Model Overview

OpenVision aims to provide efficient visual feature extraction capabilities, supporting multimodal learning tasks and applicable to various computer vision application scenarios.

Model Features

Fully Open
The model is completely open, allowing free use and modification.
Cost-Effective
Optimizes computational resource usage while maintaining high performance.
Multimodal Support
Supports multimodal learning tasks and can handle various types of visual data.

Model Capabilities

Image Feature Extraction
Multimodal Learning

Use Cases

Computer Vision
Image Classification
Use OpenVision to extract image features for classification tasks.
Object Detection
Combine OpenVision's feature extraction capabilities to improve the accuracy of object detection.
Multimodal Learning
Vision-Language Models
Integrate OpenVision with models from other modalities to build multimodal learning systems.
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