pytorch tensorboard swin image-classification dataset:sasha/dog-food transformers huggingpics model-index
---
tags:
- image-classification
- pytorch
- huggingpics
datasets:
- sasha/dog-food
metrics:
- accuracy
- f1
model-index:
- name: dog-food-swin-tiny-patch4-window7-224
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: Dog Food
      type: sasha/dog-food
    metrics:
      - name: Accuracy
        type: accuracy
        value: 1.0
---

# dog-food-swin-tiny-patch4-window7-224


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)