Regnet X 032
RegNet image classification model trained on the ImageNet-1k dataset, featuring an efficient network structure designed via neural architecture search
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Release Time : 3/15/2022
Model Overview
RegNet is an image classification model obtained through neural architecture search by designing a search space, delivering excellent performance on the ImageNet dataset
Model Features
Neural Architecture Search Design
Discovers efficient network structures by constructing and progressively optimizing the search space
Efficient Image Classification
Trained on the ImageNet-1k dataset, suitable for general image classification tasks
Modular Design
Adopts a staged structural design for easy adjustment and optimization
Model Capabilities
Image Classification
Object Recognition
Visual Feature Extraction
Use Cases
Computer Vision
Animal Recognition
Identify animal species in images
Successfully identified a tiger in the example
Object Recognition
Identify everyday objects
Successfully identified a teapot in the example
Scene Recognition
Identify architectural and scene types
Successfully identified a palace in the example
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