---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---

# Model Card for Model ID

This model has been created by Muneeb Sahaf for a final year project for virtual university 
the goal of this model is to classify food images for certain dishes
the model was trained on self-collected data

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

Based off of MobileNetV2

How this project was done: 

1. Data was collected from various sources 
2. Base model was used 
3. Data was preprocessed and split into test and train
4. Model was trained using Google Colab GPU units
5. Inference was performed on unseen data 
6. Application was created using streamlit at: 

https://huggingface.co/spaces/munnae/bc2204041

https://colab.research.google.com/drive/1hpczvKxDTDYSl1cDcqcSuFQZT4zCrOfi?usp=sharing


### Model Description
- **Developed by:** Muneeb Sahaf
- **Model type:** 1.0.0
- **License:** MIT open lisence
- **Finetuned from model:** MobileNetv2