An EfficientNetB2 feature extractor computer vision model to classify images of food as pizza, steak or sushi. The model performs at 95%+ accuracy, and can classify an image at 0.03 seconds inference time per image.
DEMO
Foodvision Mini - a Hugging Face Space by anupj
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NOTEBOOK
PyTorchForDeepLearningBootcamp/09_pytorch_model_deployment.ipynb at main · anupj/PyTorchForDeepLearningBootcamp
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