metadata

tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain
datasets:
  - Kaludi/autotrain-data-test13
co2_eq_emissions:
  emissions: 0.68402736720358

Fake News Classification

This is a Food Category Image Classifier model that has been trained by Kaludi to recognize 11 different categories of foods, including Bread, Dairy Product, Dessert, Egg, Fried Food, Meat, Noodles-Pasta, Rice, Seafood, Soup, and Vegetable-Fruit. It can accurately classify an image of food into one of these categories by analyzing its visual features. This model can be used by food bloggers, restaurants, and recipe websites to quickly categorize and sort their food images, making it easier to manage their content and provide a better user experience.

Gradio

Tis model supports a Gradio Web UI to run the data-food-classification model:

Validation Metrics

Loss: 0.064
Accuracy: 0.992
Precision: 0.985
Recall: 1.000
AUC: 0.992
F1: 0.992