AIbase
EN
Home
CLIP ViT B 16 CommonPool.L.text S1b B8k
C

CLIP ViT B 16 CommonPool.L.text S1b B8k

Developed by laion
A vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks
Text-to-ImageOpen Source License:MIT#Zero-shot Image Classification#Multimodal Contrastive Learning#Large-scale Pretraining
Downloads 58
Release Time : 4/26/2023

Model Overview

This model is a variant of the CLIP architecture, combining a Vision Transformer (ViT) and a text encoder, capable of understanding the relationship between images and text, suitable for cross-modal tasks such as zero-shot image classification.

Model Features

Zero-shot Learning Capability
Can perform image classification tasks without task-specific fine-tuning
Cross-modal Understanding
Capable of processing and understanding both visual and textual information
Efficient Architecture
Based on ViT-B-16 Vision Transformer, balancing performance and computational efficiency

Model Capabilities

Zero-shot Image Classification
Image-Text Matching
Cross-modal Retrieval

Use Cases

Content Management
Automatic Image Tagging
Automatically generate descriptive labels for unlabeled images
Improves content management efficiency and reduces manual labeling costs
E-commerce
Product Categorization
Classify product images based on natural language descriptions
Enables flexible product categorization without predefined categories
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase