---
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](https://huggingface.co/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](https://github.com/gradio-app/gradio) Web UI to run the data-food-classification model:
[![Open In HF Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/Kaludi/Food-Category-Classification_App)


## Validation Metrics

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