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Openvision Vit Tiny Patch16 384
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Openvision Vit Tiny Patch16 384

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 Architecture#Cost-Effective
Downloads 19
Release Time : 5/6/2025

Model Overview

The OpenVision model aims to provide efficient and open visual encoding solutions, supporting multimodal learning tasks and suitable for a wide range of visual feature extraction applications.

Model Features

Fully Open
The model is completely open, allowing free use and modification.
Cost-Effective
Provides efficient visual encoding solutions with a balance of performance and cost.
Multimodal Learning Support
Supports multimodal learning tasks, suitable for complex applications combining vision and language.

Model Capabilities

Image Feature Extraction
Multimodal Learning

Use Cases

Computer Vision
Image Classification
Use OpenVision to extract image features for classification tasks.
Object Detection
Enhance the performance of object detection models by leveraging OpenVision's feature extraction capabilities.
Multimodal Learning
Image-Text Matching
Utilize OpenVision's visual encoding capabilities to achieve image-text matching tasks.
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