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New York Tokyo London

Developed by Suzana
This is an image classification model built with PyTorch and HuggingPics, capable of accurately identifying images from New York, Tokyo, and London.
Downloads 40
Release Time : 3/2/2022

Model Overview

This model is specifically designed for image classification tasks, distinguishing between images of New York, Tokyo, and London with an accuracy rate of 91.04%.

Model Features

High Accuracy
Achieves a classification accuracy of 91.04% on the test set.
Multi-City Recognition
Capable of distinguishing images from three major international cities: New York, Tokyo, and London.
Built with PyTorch
Constructed using the PyTorch framework, making it easy to deploy and extend.

Model Capabilities

Image Classification
Urban Landscape Recognition
Multi-Class Classification

Use Cases

Travel Applications
Automatic Travel Photo Classification
Automatically adds city tags to user-uploaded travel photos.
91.04% accuracy rate
Geographic Information Systems
Urban Landscape Analysis
Assists in analyzing landscape features of different cities.
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