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Mobilenet V2 0.75 160

Developed by google
MobileNet V2 is a lightweight computer vision model optimized for mobile devices, excelling in image classification tasks.
Downloads 480
Release Time : 11/10/2022

Model Overview

MobileNet V2 is a small, low-latency, low-power model suitable for image classification tasks. The model achieves a good balance between latency, model size, and accuracy.

Model Features

Lightweight design
Optimized for mobile devices with small size, low latency, and low power consumption
Efficient performance
Achieves a good balance between latency, model size, and accuracy
Flexible configuration
Supports different depth multipliers and input resolution configurations

Model Capabilities

Image classification
Object recognition

Use Cases

Computer vision
Mobile image classification
Efficient image classification on mobile devices
Can accurately classify 1000 ImageNet categories
Embedded vision applications
Suitable for vision tasks on resource-constrained embedded devices
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