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Openvision Vit Base Patch8 224
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Openvision Vit Base Patch8 224

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective family of advanced visual encoders focused on multimodal learning.
Image ClassificationOpen Source License:Apache-2.0#Multimodal Visual Encoding#Cost-Effective Models#Open-Source Vision Framework
Downloads 43
Release Time : 5/6/2025

Model Overview

OpenVision is an open family of visual encoders designed to provide cost-effective solutions for multimodal learning tasks.

Model Features

Fully Open
The model is completely open, allowing free use and modification.
Cost-Effective
Delivers high performance while maintaining low cost.
Multimodal Learning Support
Designed to support multimodal learning tasks.

Model Capabilities

Image Feature Extraction
Multimodal Learning

Use Cases

Computer Vision
Image Classification
Use OpenVision to extract image features for classification tasks.
Object Detection
Utilize OpenVision's feature extraction capabilities for object detection.
Multimodal Learning
Image-Text Matching
Combine text and image features for cross-modal matching tasks.
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