Regnet Y 032
RegNet image 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. Trained on the ImageNet-1k dataset, it is suitable for general image classification tasks
Model Features
Neural Architecture Search Design
Optimizes network structure step-by-step through neural architecture search by designing search spaces
Efficient Image Classification
Network structure optimized for image classification tasks, performing well on ImageNet
Modular Design
Adopts modular network design for easy adjustment and expansion
Model Capabilities
Image Classification
Object Recognition
Visual Feature Extraction
Use Cases
General Image Recognition
Animal Recognition
Identify animal species in images
Accurately recognizes animals such as tigers
Everyday Object Recognition
Identify common household items
Accurately recognizes items such as teapots
Architecture Recognition
Identify different types of buildings
Accurately recognizes buildings such as palaces
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