|
--- |
|
tags: |
|
- image-classification |
|
- pytorch |
|
- huggingpics |
|
metrics: |
|
- accuracy |
|
|
|
model-index: |
|
- name: food-for-datahack |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9464285969734192 |
|
--- |
|
|
|
# food-for-datahack |
|
|
|
|
|
Autogenerated by HuggingPics🤗🖼️ |
|
|
|
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb). |
|
|
|
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics). |
|
|
|
|
|
## Example Images |
|
|
|
|
|
#### Chicken wings |
|
|
|
![Chicken wings](images/Chicken_wings.jpg) |
|
|
|
#### Nachos |
|
|
|
![Nachos](images/Nachos.jpg) |
|
|
|
#### ice cream |
|
|
|
![ice cream](images/ice_cream.jpg) |
|
|
|
#### ramen |
|
|
|
![ramen](images/ramen.jpg) |
|
|
|
#### vada pav |
|
|
|
![vada pav](images/vada_pav.jpg) |