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Arcade Game

Developed by vijayprakash
This is an image classification model based on the PyTorch framework, capable of recognizing various types of arcade games.
Downloads 36
Release Time : 2/16/2023

Model Overview

This model is automatically generated by the HuggingPics tool, specifically designed to recognize and classify various arcade game images with an accuracy rate of up to 97.56%.

Model Features

High accuracy
Achieves 97.56% accuracy in image classification tasks
Multi-category recognition
Capable of recognizing various types of arcade games
Automatically generated
Automatically trained and generated using the HuggingPics tool

Model Capabilities

Arcade game image classification
Multi-category image recognition

Use Cases

Game recognition
Arcade game classification system
Used for automatically recognizing and classifying arcade game images
Accurately identifies 10 different types of arcade games
Game content moderation
Automatically identifies and classifies game content for management
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