| --- |
| |
| |
| {} |
| --- |
| |
| # 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 |
|
|
