Croupier Creature Classifier
An image classification model based on ViT architecture for identifying various fictional creature characters
Downloads 14
Release Time : 8/2/2022
Model Overview
This model is an image classifier fine-tuned on the croupier-mtg-dataset using google/vit-base-patch16-224-in21k, specifically designed to recognize fictional creature characters in games and films
Model Features
Multi-category Creature Recognition
Capable of identifying fictional creature characters from different games and films
Based on ViT Architecture
Utilizes Vision Transformer architecture with excellent image classification performance
Medium Accuracy
Achieves 74.71% accuracy on the evaluation set
Model Capabilities
Image Classification
Fictional Creature Recognition
Cross-work Character Identification
Use Cases
Game Assistance
Automatic Game Character Classification
Automatically identifies character types in game screenshots
74.71% accuracy
Content Management
Film Character Archiving
Classifies and manages fictional creature characters in films
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