readme: ---
  tags:
  - image-classification
  - pytorch
  - huggingpics
  metrics:
  - accuracy
  
  model-index:
  - name: swin-age-classifier
    results:
    - task:
        name: Image Classification
        type: image-classification
      metrics:
        - name: Accuracy
          type: accuracy
          value: 0.8174999952316284
  ---
  
  # swin-age-classifier
  
  
  Trained on 80 epochs - 
  
  Data from: Ai Crowd - Blitz 
  ai-blitz-xiii - Age Prediction
  https://www.aicrowd.com/challenges/ai-blitz-xiii/problems/age-prediction/
  
  Notebook based on HuggingPics
  
  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).