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) |