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foodvision_big

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aagirre92 commited on Nov 13, 2023

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5011949

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1 Parent(s): aff9341

updated details and title

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app.py CHANGED Viewed

@@ -60,8 +60,8 @@ foodvision_big_examples_path = "examples"
 example_list = [str(path) for path in Path(foodvision_big_examples_path).rglob("*.jpeg")]
 # Create title, description and article
-title = "FoodVisionBig V0 🥘 🧗"
-description = "An <a href='https://pytorch.org/vision/main/models/generated/torchvision.models.efficientnet_b2.html#torchvision.models.efficientnet_b2'>EfficientNetB2</a> feature extractor computer vision model to classify 101 food images from Food101 dataset<br>I have yet to improve it to label non-food images. Paciencia muchachos"
 article = "Created at <a href='#'>09_pytorch_model_deploy.ipynb</a> Google Colab notebook"
 # Create the Gradio app

 example_list = [str(path) for path in Path(foodvision_big_examples_path).rglob("*.jpeg")]
 # Create title, description and article
+title = "FoodVisionBig V1.0 🥘 🧗"
+description = "An <a href='https://pytorch.org/vision/main/models/generated/torchvision.models.efficientnet_b2.html#torchvision.models.efficientnet_b2'>EfficientNetB2</a> feature extractor computer vision model to classify 101 food images from Food101 dataset<br>Current model has been trained with whole Food101 dataset, ~66% test accuracy<br>I have yet to improve it to label non-food images. Paciencia muchachos"
 article = "Created at <a href='#'>09_pytorch_model_deploy.ipynb</a> Google Colab notebook"
 # Create the Gradio app