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Patentclip RN101
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Patentclip RN101

Developed by hhshomee
Zero-shot image classification model based on OpenCLIP library, suitable for patent image analysis
Image Classification
Safetensors
Open Source License:MIT#Zero-shot image classification#Patent image recognition#Multimodal retrieval
Downloads 15
Release Time : 8/1/2024

Model Overview

This model is a vision-language model built on the OpenCLIP library, primarily used for zero-shot image classification tasks, especially suitable for processing patent-related image data.

Model Features

Zero-shot learning capability
Capable of classifying unseen image categories without specific training
Patent image optimization
Presumably optimized for patent images (inferred from the model name)
Based on OpenCLIP
Built on the robust OpenCLIP library with reliable vision-language understanding capabilities

Model Capabilities

Zero-shot image classification
Patent image analysis
Cross-modal understanding

Use Cases

Intellectual property
Patent image classification
Automatically classify technical drawings and diagrams in patent documents
Patent retrieval
Retrieve relevant patents through image content
Technical document processing
Technical drawing analysis
Identify and understand components and structures in technical drawings
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