AIbase
EN
Home
Aimv2 1b Patch14 224.apple Pt
A

Aimv2 1b Patch14 224.apple Pt

Developed by timm
AIM-v2 is an image encoder model based on the timm library, with a scale of 1 billion parameters, suitable for image feature extraction tasks.
Image Classification
Transformers
#Billion-parameter vision model#Image feature extraction#Large-scale pretraining
Downloads 198
Release Time : 12/30/2024

Model Overview

This model is an efficient image feature extractor, designed based on the AIM-v2 architecture, primarily used for image representation learning in computer vision tasks.

Model Features

Large-scale parameters
With 1 billion parameters, it can capture richer image features.
timm compatibility
Fully compatible with the timm library, making it easy to integrate into existing computer vision workflows.
Efficient feature extraction
Optimized for image feature extraction, providing high-quality visual representations.

Model Capabilities

Image feature extraction
Visual representation learning

Use Cases

Computer vision
Image classification
Used as a feature extractor for image classification tasks
Object detection
Provides high-quality visual features for detection models
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase