AIM-v2 Open-source Image Feature Extraction Model - Free Deployment, Efficiently Process High-resolution Images

Aimv2 Large Patch14 448.apple Pt

Developed by timm

AIM-v2 is an image feature extraction model based on the timm library, designed with large patches for high-resolution image processing.

Downloads 68

Release Time : 12/31/2024

Model Overview

This model is a Vision Transformer focused on extracting features from high-resolution images, suitable for various computer vision tasks.

High-resolution processing capability

Supports large input sizes up to 448x448 pixels, ideal for processing high-resolution images.

Efficient feature extraction

Utilizes an optimized Transformer architecture for efficient image feature extraction.

timm library compatibility

Compatible with the popular timm library for easy integration into existing workflows.

Image feature extraction

High-resolution image processing

Computer vision task support

Computer vision

Image classification

Can be used for classification tasks on high-resolution images.

Object detection

Used as a feature extractor for object detection systems.

Image retrieval

Extracts image features for similar image retrieval.

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