Aimv2 3b Patch14 448.apple Pt
AIM-v2 is an image encoder model based on the timm library, with a 3B parameter scale, suitable for image feature extraction tasks.
Downloads 79
Release Time : 12/31/2024
Model Overview
This model is a high-performance image encoder primarily used for extracting features from images, applicable to various computer vision tasks.
Model Features
High-performance image encoding
This model can efficiently extract high-quality feature representations from images.
Large-scale parameters
With a 3B parameter scale, it can capture richer image features.
timm compatibility
Compatible with the timm library, making it easy to integrate into existing computer vision workflows.
Model Capabilities
Image feature extraction
Computer vision task support
Use Cases
Computer vision
Image classification
Using extracted image features for classification tasks
Object detection
Providing high-quality feature representations for detection models
Featured Recommended AI Models