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top_15_anime_characters_image_detection
dima806/top_15_anime_characters_image_detection
top_15_anime_characters_image_detection is a image classification model from dima806. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
Returns anime character name given an image with about 98% accuracy.
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Oct 4, 2023
- Updated
- Oct 19, 2024
- SHA
- 4ba86543
Base models
Model card
From the Hugging Face model README
Returns anime character name given an image with about 98% accuracy.
See https://www.kaggle.com/code/dima806/anime-character-image-detection-vit for more details.
Classification report:
precision recall f1-score support
Killua 1.0000 1.0000 1.0000 57
Sakata Gintoki 1.0000 0.9655 0.9825 58
Eren Yeager 0.9649 0.9649 0.9649 57
Ichigo 0.9825 0.9825 0.9825 57
Lelouch Lamperouge 1.0000 1.0000 1.0000 58
Naruto 1.0000 1.0000 1.0000 58
Goku 0.9655 0.9825 0.9739 57
Vegeta 0.9649 0.9649 0.9649 57
Zoro 0.9355 1.0000 0.9667 58
Natsu Dragneel 1.0000 1.0000 1.0000 58
Gon 1.0000 0.9310 0.9643 58
Sasuke 0.9333 0.9655 0.9492 58
Elric Edward 1.0000 0.9825 0.9912 57
Light Yagami 0.9828 0.9828 0.9828 58
Luffy 1.0000 1.0000 1.0000 58
accuracy 0.9815 864
macro avg 0.9820 0.9815 0.9815 864
weighted avg 0.9820 0.9815 0.9815 864
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Oct 4, 2023
- Updated
- Oct 19, 2024