openai/clip-vit-base-patch16
Zero-Shot Image Classification
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Zero-Shot Image Classification
Zero shot image classification is the task of classifying previously unseen classes during training of a model.
Inputs
Classes
cat, dog, bird
Zero-Shot Image Classification Model
Output
Cat
0.664
Dog
0.329
Bird
0.008
Compatible libraries
Zero-Shot Image Classification demo
Models for Zero-Shot Image Classification
Browse Models (238)
Note Robust image classification model trained on publicly available image-caption data.
Note Robust image classification model trained on publicly available image-caption data trained on additional high pixel data for better performance.
Note Strong image classification model for biomedical domain.
Datasets for Zero-Shot Image Classification
Browse Datasets (158)
No example dataset is defined for this task.
Note Contribute by proposing a dataset for this task !
Spaces using Zero-Shot Image Classification
No example Space is defined for this task.
Note Contribute by proposing a Space for this task !
Metrics for Zero-Shot Image Classification
- top-K accuracy
- Computes the number of times the correct label appears in top K labels predicted