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Openvision Vit Small Patch16 224
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Openvision Vit Small Patch16 224

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective family of advanced vision encoders focused on multimodal learning.
Image EnhancementOpen Source License:Apache-2.0#Multimodal Learning#Open-source Vision Encoder#Cost-effective
Downloads 17
Release Time : 5/6/2025

Model Overview

The OpenVision vision encoder aims to provide efficient and open visual feature extraction solutions for multimodal learning, suitable for various computer vision 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 for multimodal learning and works well with other modality models.

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 recognition.
Multimodal Applications
Image-Text Matching
Match image features with text features.
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