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Aimv2 Large Patch14 224.apple Pt
AIM-v2 is an image encoder model based on the timm library, suitable for image feature extraction tasks.
Downloads 197
Release Time : 12/31/2024
Model Overview
This model is an AIM-v2 image encoder implemented based on the timm library, primarily used for extracting features from images and applicable to various computer vision tasks.
Model Features
Efficient feature extraction
Capable of efficiently extracting meaningful feature representations from input images.
timm compatibility
Fully compatible with the timm library, facilitating integration into existing computer vision workflows.
Large patch processing
Processes input images using 14×14 large patches.
Model Capabilities
Image feature extraction
Computer vision task preprocessing
Use Cases
Computer vision
Image classification
Can serve as a feature extractor for image classification tasks
Object detection
Provides high-quality image features for detection tasks
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