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Aimv2 1b Patch14 336.apple Pt
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Aimv2 1b Patch14 336.apple Pt

Developed by timm
AIM-v2 is an image encoder model developed by Apple, based on a timm-compatible architecture, suitable for image feature extraction tasks.
Image Classification
Transformers
#Billion-parameter vision model#High-resolution image encoding#Multimodal pre-training
Downloads 65
Release Time : 12/30/2024

Model Overview

This model is an image encoder based on the timm library, primarily used for efficient image feature extraction and applicable to various downstream tasks in the field of computer vision.

Model Features

Large-scale parameters
With 1 billion parameters, it can capture richer image features.
timm library compatibility
Compatible with the popular timm library, making it easy to integrate into existing computer vision workflows.
Efficient feature extraction
Designed for efficient image feature extraction, suitable as a backbone for various vision tasks.

Model Capabilities

Image feature extraction
Visual representation learning

Use Cases

Computer vision
Image classification
Used as a backbone network for image classification tasks
Object detection
Provides high-quality feature representations for detection models
Image retrieval
Generates image embeddings usable for similarity searches
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