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