---
language:
- en
metrics:
- accuracy
base_model:
- microsoft/resnet-50
pipeline_tag: image-classification
tags:
- fruits
- classification
- deeplearning
- tensorflowtools
---

36 UNIQUE Classes of 36 DIFFERENT fruits and vegetables:

['apple', 'banana', 'beetroot', 'bell pepper', 'cabbage', 'capsicum', 'carrot', 'cauliflower', 'chilli pepper', 'corn', 'cucumber', 'eggplant', 'garlic', 'ginger', 'grapes', 'jalepeno', 'kiwi', 'lemon', 'lettuce', 'mango', 'onion', 'orange', 'paprika', 'pear', 'peas', 'pineapple', 'pomegranate', 'potato', 'raddish', 'soy beans', 'spinach', 'sweetcorn', 'sweetpotato', 'tomato', 'turnip', 'watermelon']

Made with this dataset:

https://www.kaggle.com/datasets/kritikseth/fruit-and-vegetable-image-recognition

94% Accuracy