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Top 15 Anime Characters Image Detection
An anime character recognition model based on Vision Transformer architecture, capable of accurately identifying 15 popular anime characters with an overall accuracy of 98.15%.
Downloads 27
Release Time : 10/4/2023
Model Overview
This model uses the ViT-base architecture, taking anime character images as input and returning the corresponding character names. It is suitable for scenarios such as anime content classification and character retrieval.
Model Features
High-precision Recognition
Achieves a comprehensive accuracy of 98.15% on a test set of 15 anime character categories, with some characters (e.g., Killua, Lelouch) reaching 100% recognition accuracy.
Advantages of ViT Architecture
An advanced visual model based on Vision Transformer, effectively capturing global image features.
Multi-character Support
Supports recognition of 15 main characters from popular anime series such as 'Naruto,' 'Bleach,' and 'Dragon Ball.'
Model Capabilities
Anime Character Recognition
Image Classification
Visual Feature Extraction
Use Cases
Content Management
Anime Material Classification
Automatically tags anime screenshots or fan art with character labels.
Classification accuracy of 98.15%
Fan Applications
Character Search Tool
Quickly locates anime clips or related merchandise by uploading images.
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