---
tags:
- image-classification
- pytorch
- huggingpics
datasets:
- sasha/dog-food
metrics:
- accuracy
- f1
model-index:
- name: dog-food-vit-base-patch16-224-in21k
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: Dog Food
      type: sasha/dog-food
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9988889098167419
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: sasha/dog-food
      type: sasha/dog-food
      config: sasha--dog-food
      split: test
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9977777777777778
      verified: true
    - name: Precision
      type: precision
      value: 0.9966777408637874
      verified: true
    - name: Recall
      type: recall
      value: 1.0
      verified: true
    - name: AUC
      type: auc
      value: 0.9999777777777779
      verified: true
    - name: F1
      type: f1
      value: 0.9983361064891847
      verified: true
    - name: loss
      type: loss
      value: 0.009058385156095028
      verified: true
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: sasha/dog-food
      type: sasha/dog-food
      config: sasha--dog-food
      split: train
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9966666666666667
      verified: true
    - name: Precision
      type: precision
      value: 0.9950248756218906
      verified: true
    - name: Recall
      type: recall
      value: 1.0
      verified: true
    - name: AUC
      type: auc
      value: 0.999682142857143
      verified: true
    - name: F1
      type: f1
      value: 0.9975062344139651
      verified: true
    - name: loss
      type: loss
      value: 0.010359126143157482
      verified: true
---

# dog-food-vit-base-patch16-224-in21k


This model was trained on the `train` split of the [Dogs vs Food](https://huggingface.co/datasets/sasha/dog-food) dataset -- try training your own using the 
[the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb)!



## Example Images


#### dog

![dog](images/dog.jpg)

#### food

![food](images/food.jpg)