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Pokemon Image Classifier
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Pokemon Image Classifier

Developed by fufufukakaka
This is a Pokemon image classification model based on the Swin Transformer architecture, capable of recognizing different Pokemon in the selection interface.
Image Classification
Transformers
Open Source License:MIT#Pokemon Recognition#Game Assistance#Swin Fine-tuning
Downloads 18
Release Time : 4/12/2023

Model Overview

This model is primarily used to recognize images in the Pokemon selection interface and accurately classify different Pokemon species.

Model Features

High Accuracy
The model demonstrates high accuracy in Pokemon image classification tasks.
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture with excellent visual feature extraction capabilities.
Domain-Specific Optimization
Specifically optimized and fine-tuned for Pokemon images.

Model Capabilities

Pokemon Image Recognition
Image Classification

Use Cases

Game Assistance
Pokemon Battle Logger
Automatically identifies selected Pokemon in battles for analysis and recording.
Improves the accuracy and efficiency of battle records.
Image Recognition Applications
Pokemon Pokedex App
Identifies Pokemon species through photos and provides related information.
Enhances user experience and interactivity.
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