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VisionCourseTutorial

Image-to-Image
PyTorch
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VisionCourseTutorial
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---
license: apache-2.0
library_name: pytorch
pipeline_tag: image-to-image
datasets:
- ylecun/mnist
language:
- en
---

# DenseUNet

An image-to-image model for upscaling blurry MNIST-like images.

## Table of contents
- [Model Summary](#model-summary)
- [Use Cases & Limitations](#use-cases--limitations)
- [How to Use](#how-to-use)
- [Model Details](#model-details)
- [Training Procedure](#training-procedure)
- [Evaluation](#evaluation)
- [Ethical Considerations & Limitations](#ethical-considerations--limitations)
- [Caveats and Recommendations](#caveats-and-recommendations)
- [Citation](#citation)
- [License](#license)
- [Contact](#contact)

---

## Model Summary
- **Task:** Image to image (upscaling)
- **Architecture:** UNet with Dense layers
- **Inputs:** MNIST image
- **Outputs:** Upscaled images of numbers
- **Intended Users:** Students learning image-to-image tasks

## Use Cases & Limitations
### Intended uses
- learning image-to-image model behavior

### Out-of-scope uses / limitations
- Not for production or deployment

## How to Use
```python
# ToDo
```

## Model Details

## Training Procedure

## Evaluation

## Ethical Considerations & Limitations

## Caveats and Recommendations

## Citation

## License

## Contact