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Google Vit Base Patch16 224 Cartoon Face Recognition

Developed by jayanta
A cartoon face recognition model fine-tuned based on the Google Vision Transformer (ViT) architecture, excelling in image classification tasks
Downloads 62
Release Time : 1/18/2023

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224 on an image folder dataset, specifically designed for cartoon face recognition tasks. It achieved over 90% accuracy on the evaluation set.

Model Features

High-precision Recognition
Achieves 90.05% accuracy and 90.66% precision in cartoon face recognition tasks
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Efficient Fine-tuning
Fine-tuned on the base model with high training efficiency and relatively low resource consumption

Model Capabilities

Cartoon Face Recognition
Image Classification
Feature Extraction

Use Cases

Entertainment Applications
Cartoon Character Recognition
Identify characters in animations or comics
90.05% accuracy
Expression Classification
Classify and recognize expressions of cartoon characters
Security Verification
Cartoon Avatar Verification
Verify if user-uploaded cartoon avatars meet requirements
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