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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)