C

Convnext Large 224 22k 1k

Developed by facebook
ConvNeXT is a pure convolutional model inspired by vision Transformer designs, pre-trained on ImageNet-22k and fine-tuned on ImageNet-1k, outperforming traditional vision Transformers.
Downloads 13.71k
Release Time : 3/2/2022

Model Overview

ConvNeXT is a modern convolutional neural network designed for image classification tasks, enhancing traditional ConvNet performance by incorporating Transformer design principles.

Model Features

Modern convolutional design
Starting from ResNet, it incorporates design concepts from Swin Transformer to modernize traditional convolutional networks.
High-performance image classification
Pre-trained on ImageNet-22k and fine-tuned on ImageNet-1k, demonstrating excellent image classification performance.
Pure convolutional architecture
Fully based on convolutional operations, achieving performance comparable to Transformers without using attention mechanisms.

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Computer vision
General image classification
Classify images into one of the 1,000 categories in ImageNet
Highly accurate classification results
Object recognition
Identify specific objects in images, such as animals, everyday items, etc.
Can accurately recognize common objects like tigers, teapots, etc.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase