Update README.md

README.md

@@ -1,26 +1,23 @@
 ---
 tags:
-- autotrain
 - vision
 - image-classification
 datasets:
-- Kaludi/autotrain-data-food-classification-244911ce
+- Kaludi/data-food-classification
 widget:
-- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
-  example_title: Tiger
-- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
-  example_title: Teapot
-- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
-  example_title: Palace
+- src: https://kristineskitchenblog.com/wp-content/uploads/2021/04/apple-pie-1200-square-592-2.jpg
+  example_title: Apple Pie
+- src: https://upload.wikimedia.org/wikipedia/commons/d/da/Strawberry_ice_cream_cone_%285076899310%29.jpg
+  example_title: Ice Cream
+- src: https://www.justonecookbook.com/wp-content/uploads/2020/01/Sushi-Rolls-Maki-Sushi-%E2%80%93-Hosomaki-1106-II.jpg
+  example_title: Sushi
 co2_eq_emissions:
   emissions: 2.7745203231331614
 ---
 
-# Model Trained Using AutoTrain
+# Food Classification
 
-- Problem type: Multi-class Classification
-- Model ID: 3128788536
-- CO2 Emissions (in grams): 2.7745
+This is a Food Image Classifier model that has been trained to recognize 7 different types of popular dishes, including **apple pie**, **falafel**, **french toast**, **ice cream**, **ramen**, **sushi**, and **tiramisu**. 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.
 
 ## Validation Metrics