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Mobilenet V2 1.0 224

Developed by google
MobileNet V2 is a lightweight vision model optimized for mobile devices, excelling in image classification tasks.
Downloads 69.47k
Release Time : 11/10/2022

Model Overview

MobileNet V2 is a lightweight convolutional neural network model pre-trained on the ImageNet-1k dataset, suitable for image classification tasks. The model employs inverted residual structures and linear bottleneck designs to significantly reduce computational load and parameter count while maintaining high accuracy.

Model Features

Lightweight Design
Optimized for mobile and embedded devices with reduced computational load and parameter count.
Efficient Architecture
Utilizes inverted residual structures and linear bottleneck designs to enhance computational efficiency.
High Accuracy
Maintains competitive accuracy compared to larger models while remaining lightweight.

Model Capabilities

Image Classification
Visual Feature Extraction

Use Cases

Computer Vision
Object Recognition
Identify object categories in images.
Capable of classifying 1000 ImageNet categories.
Mobile Vision Applications
Suitable for real-time vision applications on mobile devices like smartphones.
Operates with low latency and low power consumption.
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