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+ ---
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+ license: apache-2.0
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+ metrics:
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+ - accuracy
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+ - f1
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+ base_model:
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+ - google/vit-base-patch16-224-in21k
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+ pipeline_tag: image-classification
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+ ---
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+ Detects age group with about 18% accuracy based on an image.
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+
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+ See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/sG1GZFgo5TlzzFqal5obl.png)
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+
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+ ```
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+ Classification report:
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+
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+ precision recall f1-score support
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+
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+ 0-2 0.0000 0.0000 0.0000 0
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+ 3-9 0.1667 0.2500 0.2000 8
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+ 10-19 0.1667 0.0769 0.1053 13
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+ 20-29 0.4000 0.3243 0.3582 37
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+ 30-39 0.0000 0.0000 0.0000 18
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+ 40-49 0.0000 0.0000 0.0000 13
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+ 50-59 0.1579 0.5000 0.2400 6
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+ 60-69 0.0000 0.0000 0.0000 3
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+ more than 70 0.0000 0.0000 0.0000 2
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+
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+ accuracy 0.1800 100
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+ macro avg 0.0990 0.1279 0.1004 100
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+ weighted avg 0.1925 0.1800 0.1766 100
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+ ```