Regnet X 080
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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