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dima806/smoker_image_classification
smoker_image_classification 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 whether the person is a smoker based on image with about 97% accuracy.
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From the Hugging Face model README
Returns whether the person is a smoker based on image with about 97% accuracy.
See https://www.kaggle.com/code/dima806/smoker-image-detection-vit for more details.
Classification report:
precision recall f1-score support
notsmoking 0.9907 0.9464 0.9680 112
smoking 0.9487 0.9911 0.9694 112
accuracy 0.9688 224
macro avg 0.9697 0.9688 0.9687 224
weighted avg 0.9697 0.9688 0.9687 224