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--- |
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tags: |
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- image-classification |
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- pytorch |
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datasets: |
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- fairface |
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--- |
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# ViT For Age Classification |
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A vision transformer finetuned to classify the age of a given person's face. |
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## Usage in Transformers |
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```python |
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import requests |
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from PIL import Image |
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from io import BytesIO |
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from transformers import ViTFeatureExtractor, ViTForImageClassification |
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# Get example image from official fairface repo + read it in as an image |
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r = requests.get('https://github.com/dchen236/FairFace/blob/master/detected_faces/race_Asian_face0.jpg?raw=true') |
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im = Image.open(BytesIO(r.content)) |
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# Init model, transforms |
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model = ViTForImageClassification.from_pretrained('nateraw/vit-age-classifier') |
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transforms = ViTFeatureExtractor.from_pretrained('nateraw/vit-age-classifier') |
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# Transform our image and pass it through the model |
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inputs = transforms(im, return_tensors='pt') |
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output = model(**inputs) |
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# Predicted Class probabilities |
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proba = output.logits.softmax(1) |
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# Predicted Classes |
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preds = proba.argmax(1) |
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``` |
