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  # NASA Solar Dynamics Observatory Vision Transformer v.1 (SDO_VT1)
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  ## Authors:
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- [Frank Soboczenski](https://h21k.github.io/), King's College London, London, UK
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  [Paul Wright](https://www.wrightai.com/), Wright AI Ltd, Leeds, UK
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  ## General:
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  This Vision Transformer model has been fine-tuned on Solar Dynamics Observatory (SDO) data. The images used are available here:
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  [Solar Dynamics Observatory Gallery](https://sdo.gsfc.nasa.gov/gallery/main/search). This is the first version of a Vision Transformer model on SDO data in an active region classification task. We aim to highlight the ease of use of the HuggingFace platform, integration with popular deep learning frameworks such as PyTorch, TensorFlow, or JAX, performance monitoring with Weights and Biases, and the ability to effortlessly utilize pre-trained large scale Transformer models for targeted fine-tuning purposes. This is to our knowledge the first Vision Transformer model on NASA SDO mission data and we are working on additional versions to address challenges in this domain.
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- The data used was provided courtesy of NASA/SDO and the AIA, EVE, and HMI science teams.
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- The authors gratefully acknowledge the entire NASA Solar Dynamics Observatory Mission Team.
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  ## Example Images
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  --> Drag one of the images below into the inference API field on the upper right.
 
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  # NASA Solar Dynamics Observatory Vision Transformer v.1 (SDO_VT1)
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  ## Authors:
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+ [Frank Soboczenski](https://h21k.github.io/), King's College London, London, UK<br>
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  [Paul Wright](https://www.wrightai.com/), Wright AI Ltd, Leeds, UK
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  ## General:
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  This Vision Transformer model has been fine-tuned on Solar Dynamics Observatory (SDO) data. The images used are available here:
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  [Solar Dynamics Observatory Gallery](https://sdo.gsfc.nasa.gov/gallery/main/search). This is the first version of a Vision Transformer model on SDO data in an active region classification task. We aim to highlight the ease of use of the HuggingFace platform, integration with popular deep learning frameworks such as PyTorch, TensorFlow, or JAX, performance monitoring with Weights and Biases, and the ability to effortlessly utilize pre-trained large scale Transformer models for targeted fine-tuning purposes. This is to our knowledge the first Vision Transformer model on NASA SDO mission data and we are working on additional versions to address challenges in this domain.
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+ <b>The data used was provided courtesy of NASA/SDO and the AIA, EVE, and HMI science teams.
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+ The authors gratefully acknowledge the entire NASA Solar Dynamics Observatory Mission Team.</b>
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  ## Example Images
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  --> Drag one of the images below into the inference API field on the upper right.