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Regnet X 080

Developed by facebook
RegNet is a vision classification model trained on ImageNet-1k, featuring an efficient network structure designed through neural architecture search
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Release Time : 3/18/2022

Model Overview

RegNet is an image classification model obtained via neural architecture search by designing search spaces, suitable for general visual recognition tasks

Model Features

Neural Architecture Search Design
Efficient network structure obtained through systematic search space design methods
High Efficiency Performance
Demonstrates excellent balance between accuracy and efficiency on benchmark datasets like ImageNet
Scalable Architecture
Modular design allows adjusting model scale and performance according to different needs

Model Capabilities

Image Classification
Visual Feature Extraction

Use Cases

General Visual Recognition
Object Recognition
Identify common objects and scenes in images
Validated on the ImageNet-1k dataset
Content Classification
Classify and label image content
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