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---
tags:
- image-classification
- pytorch
- huggingpics
- art
metrics:
- accuracy
- bertscore
model-index:
- name: food_detector
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9732142686843872
license: mit
language:
- en
library_name: adapter-transformers
pipeline_tag: image-classification
---
# food_detector
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
#### hot dog
![hot dog](images/hot_dog.jpg)
#### paris
![paris](images/paris.jpg)
#### pasta
![pasta](images/pasta.jpg)
#### pizaa
![pizaa ](images/pizaa_.jpg)
#### popcorn
![popcorn](images/popcorn.jpg) |