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Convnext Large Mlp.clip Laion2b Augreg
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Convnext Large Mlp.clip Laion2b Augreg

Developed by timm
ConvNeXt-Large image encoder based on the CLIP framework, trained on the LAION-2B dataset, supports visual feature extraction
Image Classification
Transformers
Open Source License:Apache-2.0#Multimodal Image Encoding#CLIP Visual Feature Extraction#Large-scale Pretraining
Downloads 107
Release Time : 12/24/2024

Model Overview

This model is the image encoder component of the CLIP (Contrastive Language-Image Pretraining) framework, utilizing the ConvNeXt-Large architecture, specifically designed for extracting high-level visual features from images.

Model Features

Large-scale Pretraining
Pretrained on the massive LAION-2B dataset, offering robust visual feature extraction capabilities
ConvNeXt Architecture
Employs the modern ConvNeXt architecture, combining the strengths of CNNs and Transformers
CLIP Compatibility
Serves as the image encoder in the CLIP framework and can be used in conjunction with text encoders

Model Capabilities

Image Feature Extraction
Visual Representation Learning
Image-Text Alignment

Use Cases

Computer Vision
Image Retrieval
Similar image search based on visual features
Visual Question Answering
Acts as the visual feature extraction component in multimodal systems
Multimodal Applications
Image-Text Matching
Calculates the similarity between images and text descriptions
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