ResNeXt50
Imagenet classifier and general purpose backbone.
ResNeXt50 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Model checkpoint:Imagenet
Input resolution:224x224
Number of parameters:25.0M
Model size (float):95.4 MB
Model size (w8a8):24.8 MB
Applicable Scenarios
- Medical Imaging
- Anomaly Detection
- Inventory Management
License
Model:BSD-3-CLAUSE
Tags
- backbone
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
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