---
language: en
datasets:
- SunnyAgarwal4274/Food_Ingredients
metrics:
- accuracy: 0.95
- f1-score: 0.94
- precision: 0.93
- recall: 0.96
license: apache-2.0
tags:
- classification
- ingredients
- deep-learning
- huggingface
- Fruits
- Vegetables
base_model:
- microsoft/resnet-50
library_name: flair
---

## Evaluation Results

### Model Performance
- **Accuracy**: 95%
- **F1 Score**: 0.94
- **Precision**: 0.93
- **Recall**: 0.96

### Evaluation Dataset
The evaluation was conducted on the **Food Ingredients Dataset**, which consists of https://huggingface.co/datasets/SunnyAgarwal4274/Food_Ingredients containing diverse food ingredient categories.

### Source
The evaluation results were computed using https://www.kaggle.com/code/sunnyagarwal427444/food-ingredient-classifiication-model. The evaluation metrics are calculated using standard practices in model evaluation.