Imagenet classifier and general purpose backbone.
ConvNextBase 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.
SC8380
Inference Time : 8.54 ms
Memory Usage : 1 MB
Layers : 430 NPU
Model checkpoint:Imagenet
Input resolution:224x224
Number of parameters:28.6M
Model size:109 MB
Applicable Scenarios : Medical Imaging, Anomaly Detection, Inventory Management
SC8380
Source Model: BSD-3-CLAUSE
Deployable Model: AI Model Hub License