SqueezeNet-1_1

简介

Imagenet classifier and general purpose backbone.
SqueezeNet 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.

效果视频

适用平台

SC8380

性能信息

推理时间： 696 μs
内存占用： 4 MB
NPU使用： 71 NPU

技术细节

Model checkpoint:Imagenet
Input resolution:224x224
Number of parameters:1.24M
Model size:4.73 MB

应用领域

Gaming
Robotics

支持平台类型

SC8380

授权信息

Source Model: BSD-3-CLAUSE
Deployable Model: AI Model Hub License

下载链接

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