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Aimv2 Large Patch14 336

Developed by apple
AIMv2 is a series of vision models based on multimodal autoregressive objective pretraining, excelling in various vision tasks.
Downloads 6,177
Release Time : 10/29/2024

Model Overview

AIMv2 employs multimodal autoregressive objective pretraining, demonstrating strong performance in vision tasks like image classification and supporting diverse visual datasets.

Model Features

Multimodal Autoregressive Pretraining
Utilizes innovative multimodal autoregressive objectives for pretraining to enhance model performance
Exceptional Classification Performance
Outperforms peer models on benchmarks like ImageNet
Broad Dataset Support
Supports diverse datasets ranging from natural images to medical imaging

Model Capabilities

Image Feature Extraction
Multi-Class Image Classification
Cross-Domain Visual Understanding

Use Cases

Computer Vision
General Image Classification
Classifies and recognizes natural images
Achieves 87.6% accuracy on ImageNet-1k
Fine-Grained Classification
Performs detailed classification tasks in specific domains
Achieves 96.7% accuracy on Stanford Cars
Medical Image Analysis
Handles medical image classification tasks
Achieves 93.8% accuracy on Camelyon17
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