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Openvision Vit Tiny Patch8 384
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Openvision Vit Tiny Patch8 384

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective advanced visual encoder family focused on multimodal learning.
Image Enhancement
Transformers
Open Source License:Apache-2.0#Multimodal Visual Encoding#Cost-effective Models#Open Architecture
Downloads 16
Release Time : 5/6/2025

Model Overview

OpenVision is an open family of visual encoder models designed to provide cost-effective visual feature extraction capabilities, supporting multimodal learning tasks.

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
Designed to support multimodal learning tasks.

Model Capabilities

Image feature extraction
Multimodal learning

Use Cases

Computer Vision
Image Classification
Use extracted image features for classification tasks.
Object Detection
Combine with detection algorithms for efficient object detection.
Multimodal Learning
Vision-Language Models
Integrate with language models to achieve cross-modal understanding.
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