README.md

metadata

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
            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

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

This model was trained on the train split of the Dogs vs Food dataset -- try training your own using the the demo on Google Colab!

Example Images

dog

food