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Aimv2 Huge Patch14 224.apple Pt
AIM-v2 is an efficient image encoder implemented based on the timm library, suitable for image feature extraction tasks.
Downloads 93
Release Time : 12/31/2024
Model Overview
This model is part of the AIM-v2 series, focusing on image feature extraction and suitable for computer vision tasks.
Model Features
Efficient Image Encoding
Based on the AIM-v2 architecture, it provides efficient image feature extraction capabilities.
timm Compatibility
Compatible with the timm library for easy integration and use.
High-resolution Processing
Supports image input with a resolution of 224x224 pixels.
Model Capabilities
Image Feature Extraction
Computer Vision Task Support
Use Cases
Computer Vision
Image Classification
Used for feature extraction in image classification tasks.
Object Detection
Serves as a feature extractor for object detection tasks.
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