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Resnet50 Clip.openai

Developed by timm
Zero-shot image classification model based on ResNet50 architecture and CLIP technology
Image Classification
Safetensors
Open Source License:MIT#Zero-shot classification#Multimodal understanding#Open-domain recognition
Downloads 11.91k
Release Time : 6/9/2024

Model Overview

This model combines ResNet50's visual feature extraction capability with CLIP's cross-modal understanding ability, suitable for zero-shot image classification tasks.

Model Features

Zero-shot learning
Classify new categories without requiring specific training data
Cross-modal understanding
Combine visual and textual information for image classification
Efficient architecture
Balanced performance and efficiency based on ResNet50 architecture

Model Capabilities

Zero-shot image classification
Cross-modal image understanding
Multi-category image recognition

Use Cases

Content management
Automatic image tagging
Automatically generate descriptive labels for unlabeled images
Improve content management efficiency
E-commerce
Product categorization
Classify new products based on natural language descriptions
No need to retrain the model for each new product category
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