AIM-v2 Open-source Image Encoder - Efficiently Support Multiple Computer Vision Tasks and Free Deployment

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Aimv2 Large Patch14 336.apple Pt Dist

Developed by timm

AIM-v2 is an efficient image encoder implemented based on the timm library, suitable for various computer vision tasks.

Image Classification

Transformers

#High-resolution image encoding #Knowledge distillation optimization #Cross-modal feature extraction

Downloads 14

Release Time : 12/31/2024

Model Overview

This model is an image encoder based on the AIM-v2 architecture, with compatibility support provided by the timm library, primarily used for image feature extraction tasks.

Model Features

Efficient image encoding

Based on the AIM-v2 architecture, it provides efficient image feature extraction capabilities.

timm compatibility

Fully compatible with the timm library, making it easy to integrate into existing computer vision workflows.

Distillation training

Utilizes distillation training methods, potentially improving the model's performance and generalization ability.

Model Capabilities

Image feature extraction

Computer vision task support

Use Cases

Computer vision

Image classification

Can be used for feature extraction in image classification tasks

Object detection

Serves as a feature extraction component for object detection systems

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Aimv2 Large Patch14 336.apple Pt Dist

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 AIM-v2 Large Patch14 336 Apple PT Dist

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